Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and ...
urban, real, recognition, text, streetside, world, streetview, classification, detection, numberMany different labeled video datasets have been collected over the past few years, but it is hard to compare them at a glance. So we have created a hand...
video, object, benchmark, classification, recognition, detection, actionThe HandNet dataset contains depth images of 10 participants hands non-rigidly deforming infront of a RealSense RGB-D camera. This dataset includes 2...
rgbd, hand, articulation, video, segmentation, classification, pose, fingertip, detectionThe dataset captures 25 people preparing 2 mixed salads each and contains over 4h of annotated accelerometer and RGB-D video data. Annotated activities ...
video, activity, classification, tracking, recognition, detection, actionThe Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year. The dataset c...
driving, street, urban, time, recognition, autonomous, video, segmentation, robot, classification, detection, car, yearThe Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from Imag...
fine-grained categorization, dogs, detection, classificationThe CALTECH 256 dataset by Li Fei-Fei contains 30607 images for 256 categories.
object, detection, image, centered, classification, sceneAt Udacity, we believe in democratizing education. How can we provide opportunity to everyone on the planet? We also believe in teaching really amazing ...
driving, street, urban, time, recognition, autonomous, video, segmentation, robot, classification, detection, car, syntheticThe CVC Partial Occlusion Virtual Pedestrian datasets (CVC-01 to CVC-06) cover a range of scenarios of occluded pedestrians generated in a virtual and r...
urban, pedestrian, classification, synthetic, occlusion, tracking, detectionData Characteristics: -------------------- This data was created by selecting 20 files each from the 10 largest classes in the Reuters-21578 collection...
text, classification1. Protocol: Seven male and three female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took par...
time-series, classificationThere are four data sets representing different conditions of an experiment. All have the same attributes. a. adult-stretch.data Inflated is true if a...
multivariate, classificationThis data set contains 416 liver patient records and 167 non liver patient records.The data set was collected from north east of Andhra Pradesh, India. ...
multivariate, classificationThe Street View Text (SVT) dataset contains 647 words and 3796 letters in 249 images harvested from Google Street View. The dataset is more challengin...
urban, text recognition, text detection, classification, outdoorThe dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categ...
multivariate, classificationKNAPSACK_01 is a dataset directory which contains some examples of data for 01 Knapsack problems. In the 01 Knapsack problem, we are given a knapsack ...
classification, machine learningSamples arrive periodically as Dr. Wolberg reports his clinical cases. The database therefore reflects this chronological grouping of the data. This gro...
multivariate, classificationMIL data sets used in our 2002 NIPS paper for Elepphant, Musk, TREC http://www.cs.cmu.edu/~juny/MILL/MIL-experiments.htm
classification, machine learningThis is a tiny database. Michie reports that Burke's group used RULEMASTER to generate comprehendable rules for determining the conditions under which ...
multivariate, classificationThe dataset was built from a personal collection of 1059 tracks covering 33 countries/area. The music used is traditional, ethnic or `world' only, as c...
regression, multivariate, classificationThis database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the...
multivariate, classification--- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Acceler...
univariate, classification, clustering, sequential, time-seriesThis DataSet is about the results of Statlog project. The project performed a comparative study between Statistical, Neural and Symbolic learning algori...
multivariate, classificationThe references below describe a predecessor to this dataset and its development. They also give results (not cross-validated) for classification by a ru...
multivariate, classificationThis data was used by Hong and Young to illustrate the power of the optimal discriminant plane even in ill-posed settings. Applying the KNN method in th...
multivariate, classificationProvide all relevant information about your data set.
multivariate, classification, clusteringThe UrbanStreet dataset used in the paper can be downloaded here [188M] . It contains 18 stereo sequences of pedestrians taken from a stereo rig mounted...
urban, human, recognition, video, pedestrian, segmentation, tracking, multitarget, detectionThe RGB-D Person Re-identification dataset is for person re-identification using depth information. The main motivation is that the standard techniques ...
pedestrian, 3d, identification, classification, depth, shapeThe CMP Facade dataset consists of facade images assembled at the Center for Machine Perception, which includes 600 rectified images of facades from var...
urban, similarity, facade, recognition, segmentation, structure, classification, rectification, semanticThis dataset has been developed to help evaluate a "hybrid" learning algorithm ("KBANN") that uses examples to inductively refine preexisting knowledge....
domain-theory, classification, sequentialThe Infra-Red Astronomy Satellite (IRAS) was the first attempt to map the full sky at infra-red wavelengths. This could not be done from ground observa...
multivariate, classificationThe data are MC generated (see below) to simulate registration of high energy gamma particles in a ground-based atmospheric Cherenkov gamma telescope us...
multivariate, classificationExtraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AA...
multivariate, classificationThis data set was generated to model psychological experimental results. Each example is classified as having the balance scale tip to the right, tip t...
multivariate, classificationThis data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family (pp. 500-...
multivariate, classificationThe German Traffic Sign Recognition Benchmark is a dataset for multi-class detection problem in natural images and do cordially invite you to participat...
urban, traffic, recognition, detection, traffic signThis data set contains weighted census data extracted from the 1994 and 1995 Current Population Surveys conducted by the U.S. Census Bureau. The data co...
multivariate, classificationThe Pittsburgh Fast-food Image dataset (PFID) consists of 4545 still images, 606 stereo pairs, 3033600 videos for structure from motion, and 27 privacy-...
video, laboratory, classification, reconstruction, real, food, recognitionThe data was collected for examining our newly developed classifier for multidimensional curves (multidimensional time series). Nine male speakers utter...
time-series, multivariate, classificationThe Daimler Mono Pedestrian Classification Benchmark dataset consists of two parts: a base data set. The base data set contains a total of 4000 pedest...
illumination, object, urban, pedestrian, classification, outdoor, scaleEEG record contains many regular oscillations, which are believed to reflect synchronized rhythmic activity in a group of neurons. Most activity related...
univariate, classificationData were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used fo...
multivariate, classificationFor a list of attributes, please refer to those two .names files. They use the following naming convention: All the attribute start with T means the t...
time-series, multivariate, classification, sequentialThis dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two insta...
classification, clustering, sequential, time-series, multivariateThe contour patches dataset is a large dataset of images patch matches used for contour detection. References: C. L. Zitnick and D. Parikh The Role...
lowlevel, match, edge, image, contour, segmentation, patch, detectionThis dataset contains records of simulation crashes encountered during climate model uncertainty quantification (UQ) ensembles. Ensemble members were ...
multivariate, classificationThe Stanford Background Dataset is a new dataset introduced in Gould et al. (ICCV 2009) for evaluating methods for geometric and semantic scene understa...
segmentation, urban, geometry, semantic, classification, natureThe Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature dat...
object, urban, fine-grained, classification, recognition, vehicle, car, attributeNotes: -- 3 classes of waves -- 21 attributes, all of which include noise -- See the book for details (49-55, 169) -- waveform.data....
multivariate, generator, classificationThe Swedish Traffic Sign Recognition provides Matlab code for parsing the annotation files and displaying the results. Part0 for each set contains the a...
urban, traffic, detection, city, sign, recognitionThe "spam" concept is diverse: advertisements for products/web sites, make money fast schemes, chain letters, pornography... Our collection of spam e-m...
multivariate, classificationAbstract Scene understanding has (again) become a focus of computer vision research, leveraging advances in detection, context modeling, and tracking. ...
scene, segmentation, pedestrian, 3d, classification, understanding, car, semanticThe Outex dataset is part of a framework for empirical evaluation of texture classification and segmentation algorithms. The framework is being constru...
segmentation, benchmark, classification, synthetic, textureIMPORTANT: we have lower performance on 'leave-one-subject-out' tests. The performance baseline index we established is for 10-fold cross-validation tes...
classification, sequentialDataset A (former NLPR Gait Database) was created on Dec. 10, 2001, including 20 persons. Each person has 12 image sequences, 4 sequences for each of th...
motion, foot, human, recognition, gait, action, classification, biometry, pressureThis is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced f...
multivariate, classificationThe objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in the English alphab...
multivariate, classificationThe dataset format is described below. Note: the format of this database was modified on 2/26/90 to conform with the format of all the other databases ...
multivariate, classificationThe PASCAL VOC is augmented with segmentation annotation for semantic parts of objects. For example, for the person category, we provide segmentation ma...
part, human, recognition, object, pedestrian, segmentation, pascal, detection, semanticPitch classes information has been extracted from MIDI sources downloaded from (JSB Chorales)[[Web Link]]. Meter information has been computed through t...
classification, sequentialThe YouTube-Objects dataset is composed of videos collected from YouTube by querying for the names of 10 object classes. It contains between 9 and 24 vi...
video, object, flow, segmentation, detection, opticalThe KTH Multiview Football dataset contains 771 images of football players includes images taken from 3 views at 257 time instances 14 annotated body jo...
recognition, soccer, outdoor, object, pedestrian, game, pose, multiview, tracking, camera, multitarget, detectionThe data set gathered when we were working at project for Bahrain university between 2002 and 2003.
domain-theory, univariate, classification, clusteringImpedance measurements were made at the frequencies: 15.625, 31.25, 62.5, 125, 250, 500, 1000 KHz Impedance measurements of freshly excised breast tissu...
multivariate, classificationGlobal Symmetry Ground-truth for AVA dataset Release Date: 2016 For detailed information, please refer to: Elawady, Mohamed, Ccile Barat, Christoph...
bilateral, aesthetic, global, symmetry, reflection, detection, mirrorThis dataset represents a real-life benchmark in the area of Ambient Assisted Living applications, as described in [1]. The binary classification task c...
time-series, multivariate, classification, sequential21 bioassay datasets generated from Pubchem. Both Primary and confirmatory bioassays (12 bioassays, 21 mixes)The data is provided in the same train/test...
multivariate, classification10000 images of natural scenes grabbed on Flickr, with 2695 logos instances cut and pasted from the BelgaLogos dataset.
detectionThis database contains 5 numeric-valued attributes. Only a subset of 3 are used during testing (the latter 3). Furthermore, only 2 of the 3 concepts a...
multivariate, classificationNorthix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases. Northix is the resulting schema...
multivariate, text, univariate, classificationInstrumentation: The data were collected at a sampling rate of 500 Hz, using as a programming kernel the National Instruments (NI) Labview. The signals ...
time-series, classificationThis dataset contains the features extracted from a database of colonoscopic videos showing gastrointestinal lesions. It also contains the ground truth ...
multivariate, classificationThe Fish4Knowledge project (groups.inf.ed.ac.uk/f4k/) is pleased to announce the availability of 2 subsets of our tropical coral reef fish video and e...
motion, nature, recognition, fish, video, water, classification, animal, cameraData Type: GrayScale Image The image dataset can be used to benchmark classification algorithm for OCR systems. The highest accuracy obtained in the Te...
classificationThe problem is specified by the accompanying data file, "vowel.data". This consists of a three dimensional array: voweldata [speaker, vowel, input]. Th...
classificationThe original paper demonstrated that it is possible to correctly replicate the experts' binary assessment with approximately 90% accuracy using both 10-...
multivariate, classificationThe GaTech VideoContext dataset consists of over 100 groundtruth annotated outdoor videos with over 20000 frames for the task of geometric context eval...
urban, nature, outdoor, video, segmentation, supervised, classification, context, unsupervised, geometry, semanticThis dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015 Please cite the paper if you wan...
text, classificationAll the 504 reviews were collected between January and August of 2015.
regression, classificationSome datasets and evaluation tools are provided on this page for four different computer vision and computer graphics problems. Population counting L...
urban, surface, reconstruction, pointcloud, object, road, pedestrian, network, line, 3d, crowd, counting, detection, groundtruth1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values.Then each pixel of each ...
multivariate, classificationThis ETHZ CVL RueMonge 2014 dataset used for 3D reconstruction and semantic mesh labelling for urban scene understanding. It was first published in [1...
benchmark, paris, reconstruction, pointcloud, outdoor, 3d, source, architecture, semantic, code, urban, mesh, recognition, segmentation, classificationChairGest is an open challenge / benchmark. The task consists in spotting and recognizing gestures from multiple synchronized sensors: 1 Kinect and 4 X...
gesture, detection, benchmark, kinect, recognition, humanThe main idea of this data set is to prepare the algorithm of the expert system, which will perform the presumptive diagnosis of two diseases of urinar...
multivariate, classificationThe dataset consists of a total of 3600 documents including 600 news/texts from six categories economy, culture-arts, health, politics, sports and tech...
text, classification, clusteringThis dataset provides a collection of web images and 3D models for research on landmark recognition (especially for methods based on 3D models). We hope...
codebook, reconstruction, matching, recognition, retrieval, 3d, classification, feature, flickr, landmarkThis is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. (See also breast-cancer...
multivariate, classificationThe PIROPO database (People in Indoor ROoms with Perspective and Omnidirectional cameras) comprises multiple sequences recorded in two different indoor ...
perspective, human, indoor, room, surveillance, detection, fisheye, omnidirectional, peopleA large dataset of geotagged face images collected from Flickr. The zip file contains text files containing urls of the images. Face2GPS: Estimating G...
gender, face, geotagged, classification, age, localization, humanA simple database containing 17 Boolean-valued attributes. The "type" attribute appears to be the class attribute. Here is a breakdown of which animal...
multivariate, classificationFor Further information about the variables see the file in the data folder.
text, classificationThis database is a standardized version of the original audiology database (see audiology.* in this directory). The non-standard set of attributes have...
multivariate, classificationThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Eac...
multivariate, classificationAIMS AND PURPOSES This corpus is intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised lear...
regression, multivariate, classificationEach record is an example of a hand consisting of five playing cards drawn from a standard deck of 52. Each card is described using two attributes (suit...
multivariate, classificationThis data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social...
regression, multivariate, classificationThe table below lists the datasets, the YouTube video ID, the amount of samples in each class and the total number of samples per dataset. Dataset --- ...
text, classificationThe Caltech Game Covers dataset consists of CD/DVD covers of video games. The set was downloaded from freecovers.net during the summer of 2008. The set ...
caltech, retrieval, game, cover, classification, hierarchy, taxonomyLASIESTA is composed by many real indoor and outdoor sequences organized in different categories, each of one covering a specific challenge in moving ob...
motion, subtraction, dataset, background, object, stationary, foreground, camera, challenge, detection, groundtruthThe data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more ...
multivariate, classificationThe source of the data is the raw measurements from a Nintendo PowerGlove. It was interfaced through a PowerGlove Serial Interface to a Silicon Graphics...
time-series, multivariate, classificationI collected 64 e-mails from DBWorld newsletter and I used them to train different algorithms in order to classify between 'announces of conferences' and...
text, classificationThis is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories catalog...
multivariate, text, classificationWe perform energy analysis using 12 different building shapes simulated in Ecotect. The buildings differ with respect to the glazing area, the glazing a...
regression, multivariate, classificationA dataset for Attribute Based Classification. It consists of 30475 images of 50 animals classes with six pre-extracted feature representations for each ...
classificationNursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools. It was used during severa...
multivariate, classificationThe Dataset for ADL Recognition with Wrist-worn Accelerometer is a public collection of labelled accelerometer data recordings to be used for the creati...
time-series, multivariate, classification, clusteringMining activity was and is always connected with the occurrence of dangers which are commonly called mining hazards. A special case of such threat is a...
multivariate, classificationUSPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder Problem: Patent Labeling
domain-theory, classificationThe dataset is used in the evaluation of EER, FRR and FAR metrics using a new anomaly detector model (Med-Min-Diff). The typed text in the experiment is...
multivariate, classificationThe classification task of this database is to determine where patients in a postoperative recovery area should be sent to next. Because hypothermia is...
multivariate, classificationThis data file contains details of various nations and their flags. In this file the fields are separated by spaces (not commas). With this data you ca...
multivariate, classificationThe PD and control handwriting database consists of 62 PWP (People with parkinson) and 15 healthy individuals who appealed at the Department of Neurolog...
regression, multivariate, classification, clusteringA complex modern semi-conductor manufacturing process is normally under consistent surveillance via the monitoring of signals/variables collected from s...
multivariate, classification, causal-discoveryAWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have requi...
space, human, recognition, image, amazon, satellite, segmentation, learning, deep, classification, biology, resolutionThe automated analysis of facial expressions has been widely used in different research areas, such as biometrics or emotional analysis. Special impo...
multivariate, classification, clustering, sequentialThe 5473 examples comes from 54 distinct documents. Each observation concerns one block. All attributes are numeric. Data are in a format readable by C4.5.
multivariate, classificationIn this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer Ahmad Province in Iran. Collecting information to...
multivariate, classificationThe mirror symmetry database contains 176 single-symmetry and 63 multyple-symmetry images (.png files) with accompanying ground-truth annotations (.mat ...
symmetry, detection, groundtruth, mirrorSeveral constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 ye...
multivariate, classificationThe experiments were carried out with a group of 30 volunteers within an age bracket of 19-48 years. They performed a protocol of activities composed of...
time-series, multivariate, classificationThis is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store...
classification, clustering, sequential, time-series, multivariateWe create a digit database by collecting 250 samples from 44 writers. The samples written by 30 writers are used for training, cross-validation and writ...
multivariate, classificationOpen University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) ...
classification, clustering, sequential, regression, time-series, multivariateThis dataset has recordings of a gas sensor array composed of 8 MOX gas sensors, and a temperature and humidity sensor. This sensor array was exposed to...
time-series, multivariate, classificationScene Background Initialization (SBI) dataset The SBI dataset has been assembled in order to evaluate and compare the results of background initializa...
change, detection, benchmark, background, foreground, initializationThe Traffic Video dataset consists of X video of an overhead camera showing a street crossing with multiple traffic scenarios. The dataset can be down...
video, urban, traffic, road, overhead, tracking, view, detectionDrugs are typically small organic molecules that achieve their desired activity by binding to a target site on a receptor. The first step in the discove...
multivariate, classificationNumber of instances: 18000 times-series measurements recorded from a 72 metal-oxide gas sensor array-based chemical detection platform. Number of attri...
time-series, multivariate, classificationThe Stanford 40 Actions dataset contains images of humans performing 40 actions. In each image, we provide a bounding box of the person who is performin...
recognition, human, detection, action, boundingboxHTRU2 is a data set which describes a sample of pulsar candidates collected during the High Time Resolution Universe Survey (South) [1]. Pulsars are a...
multivariate, classification, clusteringThe database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the cent...
multivariate, classificationThe TRaffic ANd COngestionS (TRANCOS) dataset, a novel benchmark for (extremely overlapping) vehicle counting in traffic congestion situations. It consi...
urban, highway, spain, object, traffic, transportation, vehicle, detection, carThis dataset contains Australian legal cases from the Federal Court of Australia (FCA). The cases were downloaded from AustLII ([Web Link]). We included...
text, classificationThe Annotated Facial Landmarks in the Wild (AFLW) consists of a large-scale collection of annotated face images gathered from the web, exhibiting a larg...
face, annotation, detection, age, landmark, poseHere's the abstract from the above reference: ABSTRACT: Machine learning tools show significant promise for knowledge acquisition, particularly when hu...
multivariate, classificationContains 6 object categories similar to object categories in Pascal VOC that are suitable for studying the abnormalities stemming from objects.
detectionThe Ford Car dataset is joint effort of Pandey et al. (for collecting images, Lidar points, calibration etc.) and us (for annotation of 2D and 3D object...
lidar, detection, groundtruth, 3d, car, sfmThis challenge is set up around three tasks: Text Localisation, Text Segmentation and Word Recognition. Participation in any or all tasks is welcome. Ch...
text recognition, text detection, classificationStroke Width Transform Text dataset is by Boris Epstein and consists of 307 images and XXX text instances. Detecting Text in Natural Scenes with Stro...
text recognition, text detection, classificationThe ICDAR 2003 datasets available for download on this site: Robust Reading , Robust Word Recognition , Robust OCR , Text Locating and Cursive Script . ...
text recognition, text detection, classificationThe provided files comprise three different data sets. The first one contains the raw values of the measurements of all 24 ultrasound sensors and the c...
multivariate, classification, sequentialThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measurem...
text, classification, clustering, causal-discoveryThe records represent individual data including first and family name, sex, date of birth and postal code, which were collected through iterative insert...
multivariate, classificationThe PETS 2009 dataset contains 3 parts showing multi-view sequences containing pedestrians walking in an outdoor environment. The parts are used for per...
overlap, human, frontview, occlusion multitarget, outdoor, pedestrian, tracking, detection1. Title of Database: Machine Learning based ZZAlpha Stock Recommendations 2. Sources: (a) Original owners of data: ZZAlpha Ltd., 4729 E. Sunrise #10...
time-series, classification, sequentialIndoor localization is a key topic for mobile computing. However, it is still very difficult for the mobile sensing community to compare state-of-art In...
classification, clustering, sequential, regression, time-series, multivariateThe TU Berlin Multi-Object and Multi-Camera Tracking Dataset (MOCAT) is a synthetic dataset to train and test tracking and detection systems in a virtua...
evaluation, multi-view, pedestrian, animal, tracking, multi-class, vehicle, detection, syntheticThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. ...
multivariate, classificationThe measured data was collected using a chemical sensing system based on an array of 16 metal-oxide gas sensors and an external mechanical ventilator to...
regression, time-series, multivariate, classificationMachine learning is used in high-energy physics experiments to search for the signatures of exotic particles. These signatures are learned from Monte Ca...
multivariate, classificationPart of the problem in using an automated program to discover the unknown target function is to decide how to encode names such that the program can be ...
text, univariate, classificationExtraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AA...
multivariate, classificationPlease ask Gail Gong for further information on this database.
multivariate, classificationThe Aspect Layout dataset is designed to allow evaluation of object detection for aspect ratios in perspective images. Author text: In this project ...
object, detection, aspect, perspective, ratio, layoutThe UMD Dynamic Scene Recognition dataset consists of 13 classes and 10 videos per class and is used to classify dynamic scenes. The dataset has been ...
video, motion, dynamic, classification, scene, recognitionCost Matrix _______ abse pres absence 0 1 presence 5 0 where the rows represent the true values and the columns the predicted.
multivariate, classificationParis-rue-Madame dataset contains 3D Mobile Laser Scanning (MLS) data from rue Madame, a street in the 6th Parisian district (France). The test zone con...
segmentation, 3d, semantic, classification, pointcloud, laserContains drawing pages from US patents with manually labeled figure and part labels.
detectionAn Inductive Logic Programming (ILP) or relational learning framework is assumed (Muggleton, 1992). The learning system is provided with examples of che...
multivariate, classificationLabelMe is a web-based image annotation tool that allows researchers to label images and share the annotations with the rest of the community. If you us...
detectionThe user first creates a classification model and then generates classified examples from it. To create a model, the following are specified: the number...
multivariate, classification* The dataset was acquired and annotated by professional physicians at 'Hospital Universitario de Caracas'. * The subjective judgments (target variables...
multivariate, classificationYahoo Flickr Creative Commons 100M (YFCC100M) dataset contains a list of photos and videos. This list is compiled from data available on Yahoo! Flickr. ...
internet, reconstruction, recognition, image, community, social, 3d, clustering, detection, flickr, landmarkThe Person Re-ID (PRID) 2011 dataset was created in co-operation with the Austrian Institute of Technology for the purpose of testing person re-identifi...
trajectory, graz, illumination, pedestrian, change, appearance, identification, classification, multiviewThis simple domain contains 7 Boolean attributes and 10 concepts, the set of decimal digits. Recall that LED displays contain 7 light-emitting diodes -...
multivariate, generator, classificationData is collected from imkb.gov.tr and finance.yahoo.com. Data is organized with regard to working days in Istanbul Stock Exchange.
univariate, classification, regression, time-series, multivariateNews are grouped into clusters that represent pages discussing the same news story. The dataset includes also references to web pages that, at the acce...
multivariate, classification, clusteringNotes: -- 3 classes of waves -- 40 attributes, all of which include noise -- The latter 19 attributes are all noise attributes with me...
multivariate, generator, classificationThis corpus has been collected from free or free for research sources at the Internet: -> A collection of 425 SMS spam messages was manually extracted ...
text, classification, clustering, multivariate, domain-theoryA New Color Image Database for Benchmarking of Face Detection Techniques and Human Skin Segmentation Techniques. A new color face image database for ...
face, segmentation, skin, detection, benchmarkingThe Chars74K dataset consists of 64 classes (0-9, A-Z, a-z), 7705 characters obtained from natural images, 3410 hand drawn characters using a tablet PC,...
text recognition, text detection, classificationA small subset of the original soybean database. See the reference for Fisher and Schlimmer in soybean-large.names for more information. Steven Souder...
multivariate, classificationData was captured using a setup that consisted of: - Two Fifth Dimension Technologies (5DT) gloves, one right and one left - Two Ascension Flock-of-B...
time-series, multivariate, classificationThe original data were formatted by Thorsten Joachims in the bag-of-words representation. There were 9947 features (of which 2562 are always zeros for a...
multivariate, classificationWe collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions...
face, real, human, recognition, world, pedestrian, identification, clustering, multiview, surveillance, detection, sequence10000 images of natural scenes, with 37 different logos, and 2695 logos instances, annotated with a bounding box.
detectionThis database contains 279 attributes, 206 of which are linear valued and the rest are nominal. Concerning the study of H. Altay Guvenir: "The aim is ...
multivariate, classificationThe dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of pat...
multivariate, classificationThe CERTH image blur dataset consists of 2450 digital images, 1850 out of which are photographs captured by various camera models in different shooting ...
motion, quality, detection, image, defocus, blurThe crowd datasets are collected from a variety of sources, such as UCF and data-driven crowd datasets. The sequences are diverse, representing dense cr...
video, pedestrian, scene, crowd, human, understanding, anomaly, detectionThe Textures volume currently contains 154 images, all monochrome, 129 512x512 and 25 1024x1024. For the Brodatz texture images, the number in parenth...
segmentation, benchmark, evaluation, classification, synthetic, textureBiophysical models of mutant p53 proteins yield features which can be used to predict p53 transcriptional activity. All class labels are determined via...
multivariate, classificationThe MSR Action datasets is a collection of various 3D datasets for action recognition. See details http://research.microsoft.com/en-us/um/people/zliu...
video, detection, 3d, action, reconstruction, recognitionThe dataset is the subset of RCV1. These corpus has already been used in author identification experiments. In the top 50 authors (with respect to total...
text, classification, clustering, multivariate, domain-theoryThe data has been produced using Monte Carlo simulations. The first 21 features (columns 2-22) are kinematic properties measured by the particle detecto...
classificationThis data set contains some training and testing data from a remote sensing study by Johnson et al. (2013) that involved detecting diseased trees in Qui...
multivariate, classificationThe Where Who Why (WWW) dataset provides 10,000 videos with over 8 million frames from 8,257 diverse scenes, therefore offering a superior comprehensive...
recognition, video, flow, pedestrian, crowd, surveillance, optical, detectionProblem Description: Splice junctions are points on a DNA sequence at which `superfluous' DNA is removed during the process of protein creation in hig...
domain-theory, classification, sequentialWordNet is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each express...
language, category, classification, imagenet, hierarchyThe two datasets are related to red and white variants of the Portuguese "Vinho Verde" wine. For more details, consult: [Web Link] or the reference [Cor...
regression, multivariate, classificationThis data set was generated as follows. 150 subjects spoke the name of each letter of the alphabet twice. Hence, we have 52 training examples from each ...
multivariate, classificationThe digits have been size-normalized and centered in a fixed-size image of dimension 28x28. The original data were modified for the purpose of the featu...
multivariate, classification15 wide baseline stereo image pairs with large viewpoint change, provided ground truth homographies. Image size (~1000x700 pixels, RGB) D. Mishkin a...
description, wide baseline stereo, detection, viewpoint, matching, featureKEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. I...
univariate, classification, clustering, regression, multivariate, textThe experiments have been carried out with a group of 115 students of first-year, undergraduate Engineering major of the University of Genoa. We carri...
classification, clustering, sequential, regression, time-series, multivariateA Vicon motion capture camera system was used to record 12 users performing 5 hand postures with markers attached to a left-handed glove. A rigid patt...
multivariate, classification, clusteringThe PETS 2016 IPATCH dataset contains a set of fourteen multi camera recordings (visible, themal) collected off the coast of Brest, France, in collabora...
visible, thermal, multimodal, vessel, maritime, boat, gps, tracking, detection, radarAn Annotated Dataset For Near-Duplicate Detection In Personal Photo Collections Managing photo collections involves a variety of image quality assessm...
copyright, duplicate, detection, groundtruth, retrievalThis file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the ...
multivariate, classificationWe use the following representation to collect the dataset age - age bp - blood pressure sg - specific gravity al ...
multivariate, classificationThe Yotta dataset consists of 70 images for semantic labeling given in 11 classes. It also contains multiple videos and camera matrices for 14km or driv...
urban, reconstruction, video, segmentation, 3d, classification, camera, semanticMammography is the most effective method for breast cancer screening available today. However, the low positive predictive value of breast biopsy result...
multivariate, classificationThe dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features represen...
multivariate, classification, clusteringThe MHEALTH (Mobile HEALTH) dataset comprises body motion and vital signs recordings for ten volunteers of diverse profile while performing several phys...
time-series, multivariate, classificationPast Usage: (a) Rgnvaldsson, You and Garwicz (2015) 'State of the art prediction of HIV-1 protease cleavage sites', Bioinformatics, vol 31 (8),...
multivariate, classification30000+ frames with vehicle rear annotation and classification (car and trucks) on motorway/highway sequences. Annotation semi-automatically generated us...
detectionThis data set contains the acquired time series from 16 chemical sensors exposed to gas mixtures at varying concentration levels. In particular, we gene...
regression, time-series, multivariate, classificationSamples (instances) are stored row-wise. Variables (attributes) of each sample are RNA-Seq gene expression levels measured by illumina HiSeq platform.
multivariate, classification, clustering1. Protocol: Three male and one female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took part ...
time-series, classificationWe used preprocessing programs made available by NIST to extract normalized bitmaps of handwritten digits from a preprinted form. From a total of 43 peo...
multivariate, classificationThe submitted file is set up as follows. In the first line is the the number of signal events followed by the number of background events. The signal ev...
multivariate, classificationThe FlickrLogos-32 dataset contains photos showing brand logos and is meant for the evaluation of multi-class logo recognition as well as logo retrieval...
classification brand boundingbox, retrieval, object recognition, machine learning, logo, detection, image, flickrThe examples are complete and noise free. The examples highly simplified the problem. The attributes do not fully describe all the factors affecting the...
multivariate, classification# From Garavan Institute # Documentation: as given by Ross Quinlan # 6 databases from the Garavan Institute in Sydney, Australia # Approximately the fol...
multivariate, domain-theory, classificationFormat: Each observation concerns one university. In some cases, more information is provided about the attribute (e.g., units or domain). Some duplicat...
multivariate, classificationThis dataset was used in several classifications tasks related to the challenge of anuran species recognition through their calls. It is a multilabel da...
multivariate, classification, clusteringBackground information: The data set concerns the earliest history of mankind. Prehistoric men created the desired shape of a stone tool by striking on ...
multivariate, classification, clustering, causal-discoveryThe Extreme Classification Repository: Multi-label Datasets & Code Kush Bhatia Himanshu Jain Prateek Jain Manik Varma The objective in extreme mu...
multilabel, machine, learning, benchmark, evaluation, classificationPredicting forest cover type from cartographic variables only (no remotely sensed data). The actual forest cover type for a given observation (30 x 30 ...
multivariate, classificationVideo data sets to train machines to recognise objects in our environment. e-VDS35 has 35 classes and a total of 2050 videos of roughly 10 seconds each.
classificationThis data set contains training and testing data from a remote sensing study which mapped different forest types based on their spectral characteristics...
multivariate, classificationThese data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis de...
multivariate, classificationThis is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. (See also lymphography ...
multivariate, classificationTo demonstrate the RFMTC marketing model (a modified version of RFM), this study adopted the donor database of Blood Transfusion Service Center in Hsin-...
multivariate, classificationThis database has been artificially generated by using a first order theory which describes the structure of ten capital letters of the English alphabet...
multivariate, classificationThis archive contains 13910 measurements from 16 chemical sensors utilized in simulations for drift compensation in a discrimination task of 6 gases at ...
multivariate, classificationWe present a new large-scale dataset that contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities, with high...
urban, stereo, cities, person, video, weakly, segmentation, pedestrian, detection, car, semanticThis dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or d...
multivariate, classificationThe data was collected retrospectively at Wroclaw Thoracic Surgery Centre for patients who underwent major lung resections for primary lung cancer in th...
multivariate, classificationBrief Description of the Dataset: --------------------------------- Each of the 19 activities is performed by eight subjects (4 female, 4 male, between ...
time-series, multivariate, classification, clusteringThe PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities (such as walking, cycling, playing soccer, etc.), perf...
time-series, multivariate, classificationThis dataset describes a set of 92 molecules of which 47 are judged by human experts to be musks and the remaining 45 molecules are judged to be non-mus...
multivariate, classificationThe data was collected by the Magellan spacecraft over an approximately four year period from 1990--1994. The objective of the mission was to obtain glo...
image, classificationThis dataset is composed of a range of biomedical voice measurements from 31 people, 23 with Parkinson's disease (PD). Each column in the table is a par...
multivariate, classification2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three e...
multivariate, classificationThe dataset is composed by two tables. The first table go_track_tracks presents general attributes and each instance has one trajectory that is represen...
regression, multivariate, classificationThis dataset is an addition to the dataset at [Web Link] We collected more dataset to improve the accuracy of our HAR algorithms applied in ...
time-series, classificationPenn-Fudan Pedestrian Detection and Segmentation
segmentation, motion, background, pedestrian, detectionThis data set contains 13,910 measurements from 16 chemical sensors exposed to 6 gases at different concentration levels. This dataset is an extension o...
causa, classification, clustering, regression, time-series, multivariateThe Kendall Square webcam dataset consists of two streams for one sunny day and one cloudy day of a city square. It is used for tracking and analyzing c...
color, change, appearance, weather, detection, webcam, skyIndoor localisation is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technolog...
classification, clustering, sequential, regression, time-series, multivariateNotes: - Additional "background" knowledge is supplied that provides a partial ordering on some of the attribute values. - We are providing this datas...
multivariate, classificationAutomatic identification of commercial blocks in news videos finds a lot of applications in the domain of television broadcast analysis and monitoring. ...
multivariate, classification, clusteringThe ICG Multi-Camera and Virtual PTZ dataset contains the video streams and calibrations of several static Axis P1347 cameras and one panoramic video fr...
graz, outdoor, video, object, panorama, pedestrian, network, crowd, multiview, tracking, camera, multitarget, detection, calibrationThere are two versions to the database: - V1 contains the original examples and - V2 contains descriptions after discretizing numeric proper...
multivariate, classificationThis data was collected from text ads found on twelve websites that deal with various farm animal related topics. Information from the ad creative and ...
text, classificationThe Visual Attributes dataset contains visual attribute annotations for over 500 object classes (animate and inanimate) which are all represented in Ima...
object, recognition, attribute, classification, imagenetThe file animals.c is a data generator of structured instances representing quadruped animals as used by Gennari, Langley, and Fisher (1989) to evaluate...
multivariate, generator, classificationThe Extreme Zoom Dataset. EZD is a 6 image sets with incleasing zoom factor from general scene view to focusing on single detail. MODS: Fast and Robus...
description, detection, zoom, viewpoint, matching, featureThis is one of three domains provided by the Oncology Institutenthat has repeatedly appeared in the machine learning literature. (See also breast-cance...
multivariate, classificationThe dataset contains 15 documentary films that are downloaded from YouTube, whose durations vary from 9 minutes to as long as 50 minutes, and the total ...
video, object, detectionThe Longterm Pedestrian dataset consists of images from a stationary camera running 24 hours for 7 days at about 1 fps. It used for adaptive detection ...
coffee, graz, background, indoor, illumination, change, pedestrian, robust, multitarget, detectionPredicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and coun...
multivariate, classificationThis is a data set used by Ning Qian and Terry Sejnowski in their study using a neural net to predict the secondary structure of certain globular protei...
classification, sequentialPlease find the original data at '[Web Link]'
time-series, multivariate, classification, clusteringThe dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in th...
univariate, classification, clustering, sequential, time-seriesThe UBO 2014 consists of 7 semantic categories. Each of these 7 material categories contains measurements of 12 different material instances for being c...
illumination, material, classification, texture, light, recognitionFor further details on this dataset and/or its attributes, please read the 'ReadMe.pdf' file included and/or consult the Master's Thesis 'Development of...
multivariate, classificationThe USAA dataset includes 8 different semantic class videos which are home videos of social occassions which feature activities of group of people. It c...
classificationThis database does NOT use a standard set of attributes per instance. Contact Ray Bareiss (rbareiss '@' uunet.uucp ?) for more information. Domain exp...
multivariate, classificationThe characters here were used for a PhD study on primitive extraction using HMM based models. The data consists of 2858 character samples, contained in ...
time-series, classification, clusteringUncompressing rcv1rcv2aminigoutte.tar.bz2 will create a directory that contains 5 subdirectories EN, FR, GR, IT and SP, corresponding to the 5 language...
multivariate, classificationEach record represents follow-up data for one breast cancer case. These are consecutive patients seen by Dr. Wolberg since 1984, and include only those...
regression, multivariate, classificationTwo datasets are provided. the original dataset, in the form provided by Prof. Hofmann, contains categorical/symbolic attributes and is in the file "ge...
multivariate, classificationThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measurem...
time-series, multivariate, classification, sequentialMany real world applications need to know the localization of a user in the world to provide their services. Therefore, automatic user localization has ...
regression, multivariate, classificationTh EPFL Multi-View Car dataset contains 20 sequences of cars as they rotate by 360 degrees. There is one image approximately every 3-4 degrees. Using th...
detection, estimation, car, pose, multiview, rotationDatabase contains records for 1885 respondents. For each respondent 12 attributes are known: Personality measurements which include NEO-FFI-R (neurotici...
multivariate, classificationPictures of objects belonging to 256 categoriesPictures of objects belonging to 256 categories.
natural-image, classification15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744 additional full images not containing pedestrians for bootstrapping. The test set...
detectionThis dataset contains features extracted from the Messidor image set to predict whether an image contains signs of diabetic retinopathy or not. All feat...
multivariate, classificationA Vicon motion capture camera system was used to record 12 users performing 5 hand postures with markers attached to a left-handed glove. A rigid patt...
multivariate, classification, clusteringThis MALDI-TOF dataset consists in:A) A reference panel of 20 Gram positive and negative bacterial species covering 9 genera among which several species...
multivariate, classificationThe CMP map2photo dataset consists of 6 pairs, where one image is satellite photo and second image is a map of the same area. The task is to match thes...
sensing, baseline, matching, description, map, feature, remote, detection, wideCollected in a clothing store. Captured with Kinect (640*480, about 30fps)
tracking, detectionThe FaceScrub dataset comprises a total of 107818 unconstrained face images of 530 celebrities crawled from the Internet, with about 200 images per pers...
face, celebrity, detection, people, recognition, humanProvide all relevant informatioThe data has been produced using Monte Carlo simulations. The first 8 features are kinematic properties measured by the p...
classificationThree data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. Fo...
time-series, multivariate, classificationThe data consist of 16 binary inputs and one 'four-bit' one-hot classification output. The 16-bit inputs are binary-valued attack-point vectors. 1 indic...
multivariate, classificationBelgiumTSC dataset is built for traffic sign classification purposes. Is is a subset of BelgiumTS dataset and contains cropped images around annotations...
urban, traffic, road, classification, sign, belgiumEach record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create ei...
classification, sequentialThis dataset was collected for training and validation of machine learning algorithm for classification regions of documents on text, picture and backgr...
classificationThe DrivFace database contains images sequences of subjects while driving in real scenarios. It is composed of 606 samples of 640480 pixels each, acquir...
regression, multivariate, classification, clusteringThe QMUL Junction dataset is a busy traffic scenario for research on activity analysis and behavior understanding. Video length: 1 hour (90000 frame...
video, motion, pedestrian, crowd, counting, tracking, detection, behaviorThe dataset is about bankruptcy prediction of Polish companies. The data was collected from Emerging Markets Information Service (EMIS, [Web Link]), whi...
multivariate, classificationThis dataset represents a real-life benchmark in the area of Activity Recognition applications, as described in [1]. The classification tasks consist ...
time-series, multivariate, classification, sequentialBackground Models Challenge (BMC) is a complete dataset and competition for the comparison of background subtraction algorithms. The main topics concer...
motion, background, video, modeling, segmentation, change, surveillance, detectionCar Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic...
multivariate, classificationThe experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. Each person performed six activities (WALKING,...
time-series, multivariate, classification, clusteringThe Daphnet Freezing of Gait Dataset is a dataset devised to benchmark automatic methods to recognize gait freeze from wearable acceleration sensors pl...
time-series, multivariate, classificationThis database encodes the complete set of possible board configurations at the end of tic-tac-toe games, where "x" is assumed to have played first. The...
multivariate, classificationThere are 19 classes, only the first 15 of which have been used in prior work. The folklore seems to be that the last four classes are unjustified by th...
multivariate, classificationThis dataset was derived from geospatial data from two sources: 1) Landsat time-series satellite imagery from the years 2014-2015, and 2) crowdsourced g...
multivariate, classificationThe data consist of evaluations of teaching performance over three regular semesters and two summer semesters of 151 teaching assistant (TA) assignments...
multivariate, classification* The articles were published by Mashable (www.mashable.com) and their content as the rights to reproduce it belongs to them. Hence, this dataset does n...
regression, multivariate, classificationF. Bergadano supplied this database. Each instance contains many components, each of which has 8 attributes. Different instances in this database have...
multivariate, classificationA dataset of online handwritten assamese characters by collecting samples from 45 writers is created. Each writer contributed 52 basic characters, 10 nu...
multivariate, classification, sequentialYouTube Comedy Slam ([Web Link]) is a video discovery experiment running on YouTube's version of labs (called TestTube) for a few months in 2011 and 201...
text, classificationThe Webcam Interestingness dataset consists of 20 different webcam streams, with 159 images each. It is annotated with interestingness ground truth, acq...
video, interest, retrieval, classification, weather, ranking, webcamARCENE was obtained by merging three mass-spectrometry datasets to obtain enough training and test data for a benchmark. The original features indicate ...
multivariate, classificationThis dataset contains 12,995 face images which are annotated with (1) five facial landmarks, (2) attributes of gender, smiling, wearing glasses, and hea...
face, landmark detection, deep learning, detection, attribute, cnnThe Leeds Cows dataset by Derek Magee consists of 14 different video sequences showing a total of 18 cows walking from right to left in front of differe...
video, segmentation, detection, cow, animal, backgroundThe phishing problem is considered a vital issue in .COM industry especially e-banking and e-commerce taking the number of online transactions involving...
multivariate, classificationWe have downloaded 15 months worth of daily data from the California Department of Transportation PEMS website, [Web Link], The data describes the occup...
time-series, multivariate, classificationThe Wide (multiple) Baseline Dataset. 31 image pairs, simultaneously combining several nuisance factors: geometry, illumination, IR-visible, etc. WxBS...
description, night, viewpoint, matching, feature, detection, day, ir1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manua...
detectionThe companion file is a Common Lisp demonstration file that generates knight-pin Chess end-game samples. Start up Lisp and load the file. It generates ...
multivariate, generator, classificationToday, we introduce Open Images, a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories. W...
annotation, deep, classification, real, large-scale, image, category, automaticISPRS Test Project on Urban Classification and 3D Building Reconstruction The ISPRS working group III/4 announces the release of the 2D semantic label...
urban, reconstruction, recognition, building, 3d, classification, city, semanticThis research aimed at the case of customers default payments in Taiwan and compares the predictive accuracy of probability of default among six data mi...
multivariate, classificationFor Each feature, a 64 element vector is given per sample of leaf. These vectors are taken as a contigous descriptors (for shape) or histograms (for tex...
classificationSee the file bridge-holden-paulson-details.txt in the submitted tarball.
multivariate, classificationProvide all relevant information about your data set.
regression, multivariate, classificationThe most important feature of this dataset is its simplicity to use and its being well-documented, which can be widely used in various studies of text a...
regression, multivariate, text, classificationThe PD database consists of training and test files. The training data belongs to 20 PWP (6 female, 14 male) and 20 healthy individuals (10 female, 10 m...
regression, multivariate, classificationOne of the challenges faced by our research was the unavailability of reliable training datasets. In fact this challenge faces any researcher in the fie...
classificationThe parameters which we used for collecting the dataset is referred from the paper 'The discovery of experts decision rules from qualitative bankruptcy ...
multivariate, classificationFeatures are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present...
multivariate, classificationThe purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may b...
multivariate, classificationThe Microsoft COCO (mscoco) is an image recognition and segmentation dataset which contains more 300k images for more than 70 categories. Other featur...
object, segmentation, benchmark, semantic, context, recognition, detectionThe Mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research. Ground truth: Over 60,000 pedestrians wer...
video, pedestrian, crowd, counting, tracking, detection, indoor, webcamContains training and testing data for classifying a high resolution aerial image into 9 types of urban land cover. Multi-scale spectral, size, shape, a...
multivariate, classificationThe file "sonar.mines" contains 111 patterns obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions. Th...
multivariate, classificationThis material is supplementary to Michael Stark, Bernt Schiele. How Good are Local Features for Classes of Geometric Objects. Eleventh IEEE Internat...
object, binary, tool, classification, shapeThe data set consists of the expression levels of 77 proteins/protein modifications that produced detectable signals in the nuclear fraction of cortex. ...
multivariate, classification, clusteringThe Caltech Lanes dataset includes four clips taken around streets in Pasadena, CA at different times of day. The archive below includes 1225 individu...
caltech, urban, road, pasadena, detection, laneVelloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. Qualitative Activity Recognition of Weight Lifting Exercises. Proceedings of 4th Internat...
multivariate, classificationCollect the real time readings for residential,commercial,industrial,agriculure,to find the accuracy consumption in Tamil Nadu Around Thanajvur
regression, multivariate, classification, clusteringEach image can be characterized by the pose, expression, eyes, and size. There are 32 images for each person capturing every combination of features. ...
image, classificationdataset are derived from the customers reviews in Amazon Commerce Website for authorship identification. Most previous studies conducted the identi...
multivariate, domain-theory, text, classificationThis dataset describes a set of 102 molecules of which 39 are judged by human experts to be musks and the remaining 63 molecules are judged to be non-mu...
multivariate, classificationThe main goal of this data set is providing clean and valid signals for designing cuff-less blood pressure estimation algorithms. The raw electrocardiog...
regression, multivariate, classificationThe dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categ...
multivariate, classificationThe dataset (movement_libras) contains 15 classes of 24 instances each, where each class references to a hand movement type in LIBRAS. In the video pre...
multivariate, classification, clustering, sequentialIn predicting stock prices you collect data over some period of time - day, week, month, etc. But you cannot take advantage of data from a time period u...
time-series, classification, clusteringThe Berkeley Multimodal Human Action Database (MHAD) contains 11 actions performed by 7 male and 5 female subjects in the range 23-30 years of age excep...
recognition, motion, action, classification, multiviewWe have created the UJIpenchars2 character database by collecting samples from 60 writers at two different sites in two phases: 1st phase, 11 writers, c...
multivariate, classification, sequentialAll data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was det...
time-series, multivariate, classification, sequentialBelgiumTS is a large dataset with 10000+ traffic sign annotations, thousands of physically distinct traffic signs. 4 video sequences recorded with 8 hig...
urban, sign, belgium, road, traffic, classification, camera, calibrationThis database contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced....
multivariate, spatial, classificationPlease see the README for the details on the data organization, and so on.
multivariate, text, classification, clusteringThis database contains 34 attributes, 33 of which are linear valued and one of them is nominal. The differential diagnosis of erythemato-squamous dise...
multivariate, classificationAll the patients suffered heart attacks at some point in the past. Some are still alive and some are not. The survival and still-alive variables, when ...
multivariate, classificationThe data can be used to try to predict student learning in SE teamwork based on observation of their team activity **** README FILE from the submitted...
time-series, classification, sequentialThis file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the ...
multivariate, classificationUncompressing the archive url_svmlight.tar.gz will yield a directory url_svmlight/ containing the following files: * FeatureTypes --- A text file li...
time-series, multivariate, classificationType of dependent variables (7 Types of Steel Plates Faults): 1.Pastry 2.Z_Scratch 3.K_Scatch 4.Stains 5.Dirtiness 6.Bumps 7.Other_Faults
multivariate, classificationThe Text and Vision (TVGraz) dataset is an annotated multi-modal dataset which currently contains 10 visual object categories, 4030 images and associate...
text, evaluation, appearance, classificationThe city planar and non-planar datset consists of urban scenes accompanied by text files describing the plane/non-plane locations. Training Set (Univ...
building, urban, detection, 3d, estimation, planeThis database contains 18000 video frames of 640x480 resolution from 60 video sequences, each of which recorded from a different subject (31 female and ...
classificationThe examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian, 70 elements each, randomly selected for t...
multivariate, classification, clusteringDota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and w...
multivariate, classificationInstance recognition from depth data. Contains various challenges of Pose, Clutter, Occlusion and similar looking objects (Bonde, U., Badrinarayanan, V....
detection, instance, depth, poseWe share our omnidirectional and panoramic image dataset (with annotations) to be used for human and car detection. Please reach through: http://cvrg.i...
panorama, detection, car, omnidirection, recognition, humanFeatures are extracted from electric current drive signals. The drive has intact and defective components. This results in 11 different classes with dif...
multivariate, classification-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heurist...
multivariate, classification, clusteringKEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. I...
univariate, classification, clustering, regression, multivariate, text--- By using a tweet crawler, we collect 2000 labelled tweets (1000 positive tweets and 1000 negative ones) on various topics such as: politics ...
text, classificationThis data set includes votes for each of the U.S. House of Representatives Congressmen on the 16 key votes identified by the CQA. The CQA lists nine di...
multivariate, classificationThis dataset includes the recordings of five replicates of an 8-sensor array. Each unit holds 8 MOX sensors and integrates custom-designed electronics f...
classification, regression, time-series, multivariate, domain-theoryThe Brodatz dataset consists of 112 textures in grayscale images of various texture types. http://www.ee.oulu.fi/research/imag/texture/image_data/Brod...
segmentation, benchmark, classification, synthetic, textureThis dataset contains 7 challenging volleyball activity classes annotated in 6 videos from professionals in the Austrian Volley League (season 2011/12)....
video, sport, analysis, activity recognition, volleyball, detection, actionA dataset for testing object class detection algorithms. It contains 255 test images and features five diverse shape-based classes (apple logos, bottles...
classificationCalifornia-ND contains 701 photos taken directly from a real user's personal photo collection, including many challenging non-identical near-duplicate c...
detectionPredicted Attribute: Localization site of protein. ( non-numeric ). The references below describe a predecessor to this dataset and its development. Th...
multivariate, classification-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristi...
multivariate, classificationBiomedical data set built by Dr. Henrique da Mota during a medical residence period in the Group of Applied Research in Orthopaedics (GARO) of the Centr...
multivariate, classification2 data files: -- horse-colic.data: 300 training instances -- horse-colic.test: 68 test instances Possible class attributes: 24 (whether le...
multivariate, classificationThe MONK's problem were the basis of a first international comparison of learning algorithms. The result of this comparison is summarized in "The MONK's...
multivariate, classificationThe dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is repr...
classification, clustering, sequential, time-series, multivariateA description of the underlying Cargo 2000 standard and the processes reflected in the data set can be found at [Web Link].
regression, multivariate, classification, sequentialThe QSAR biodegradation dataset was built in the Milano Chemometrics and QSAR Research Group (Universit degli Studi Milano Bicocca, Milano, Italy). The...
multivariate, classificationApproximately 80% of the data belongs to class 1. Therefore the default accuracy is about 80%. The aim here is to obtain an accuracy of 99 - 99.9%. The...
multivariate, classification* Audio track (encoded as mp3) of each of the 106,574 tracks. It is on average 10 millions samples per track.* Nine audio features (consisting of 518 at...
time-series, multivariate, classification, clusteringThis dataset represents a set of possible advertisements on Internet pages. The features encode the geometry of the image (if available) as well as phr...
multivariate, classificationWe create a character database by collecting samples from 11 writers. Each writer contributed with letters (lower and uppercase), digits, and other cha...
multivariate, classification, sequentialThe HTML source of a web page is given. Users looked at each web page and inidated on a 3 point scale (hot medium cold) 50-100 pages per domain. However...
multivariate, text, classificationThe ICG Lab 6 (Multi-Camera Multi-Object Tracking) dataset contains 6 indoor people tracking scenarios recorded at our laboratory using 4 static Axis P1...
evaluation, graz, object, laboratory, pedestrian, segmentation, multiview, tracking, camera, detection, calibrationVina conducted a comparison test of her rule-based system, BEAGLE, the nearest-neighbor algorithm, and discriminant analysis. BEAGLE is a product avail...
multivariate, classificationThe OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recog...
time-series, multivariate, classificationThe Daimler Mono Pedestrian Detection Benchmark dataset contains a large training and test set. The training set contains 15.560 pedestrian samples (ima...
object, mono, urban, pedestrian, outdoor, scale, detectionPhos is a color image database of 15 scenes captured under different illumination conditions. More particularly, every scene of the database contains 1...
detectionThe TUD Crossing dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 201 images with 1008 highly overlapping pedestrians with signif...
urban, sideview, overlap, segmentation, pedestrian, tracking, multitarget, detectionFrom the original readme file (please consult it for more information): ------------------------- The documents in the Reuters-21578 collection appeared...
text, classificationStyle, Price, Rating, Size, Season, NeckLine, SleeveLength, waiseline, Material, FabricType, Decoration, Pattern, Type, Recommendation are Attributes in...
text, classification, clusteringMADELON is an artificial dataset containing data points grouped in 32 clusters placed on the vertices of a five dimensional hypercube and randomly label...
multivariate, classificationThis UIUC Cars dataset by Shivani Agarwal, Aatif Awan and Dan Roth contains images of side views of cars for use in evaluating object detection algorith...
urban, sideview, detection, car, recognition, scaleExamples represent positive and negative instances of people who were and were not granted credit. The theory was generated by talking to the individu...
multivariate, domain-theory, classificationThis dataset contains 503 sponges belonging to the Demospongiae class collected from the Mediterranean (451 sponges) and Atlantic oceans (52 sponges). E...
multivariate, classificationThe dataset was collected at 'Hospital Universitario de Caracas' in Caracas, Venezuela. The dataset comprises demographic information, habits, and histo...
multivariate, classificationThis radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total tra...
multivariate, classificationPeople used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest). Each instance is a localization data for one of...
time-series, univariate, classification, sequentialSince the publicly available face image datasets are often of small to medium size, rarely exceeding tens of thousands of images, and often without age ...
face, age, wikipedia, imdb, recognition, detection, biometryDataset from 8800(10 digits x 10 repetitions x 88 speakers) time series of 13 Frequency Cepstral Coefficients (MFCCs) had taken from 44 males and 44 fem...
time-series, multivariate, classification- The leaves were placed on a white background and then photographed. - The pictures were taken in broad daylight to ensure optimum light intensity.
multivariate, classification, clusteringThe High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedes...
high-definition, benchmark, human, lisbon, indoor, video, re-identification, pedestrian, network, multiview, tracking, surveillance, camera, detectionThis dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different c...
time-series, classification, clusteringWe present a dataset to address the problem of visual privacy - where users unintentionally leak private information when sharing personal images online...
multilabel, privacy, classification, flickr, scene, regressionThis dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps. 200 patterns per class (for a to...
multivariate, classificationA chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The ...
regression, time-series, multivariate, classificationThe Heterogeneity Dataset for Human Activity Recognition from Smartphone and Smartwatch sensors consists of two datasets devised to investigate sensor h...
time-series, multivariate, classification, clusteringWIDER FACE dataset is a large-scale face detection benchmark dataset with 32,203 images and 393,703 face annotations, which have high degree of variabil...
face, scale, detection, pose, occlusionThe dataset has been enriched during the Nomao Challenge: [Web Link] organized along with the ALRA workshop (Active Learning in Real-world Applications)...
univariate, classificationThe skin dataset is collected by randomly sampling B,G,R values from face images of various age groups (young, middle, and old), race groups (white, bla...
univariate, classificationThe ICG Multi-Camera datasets consist of Easy Data Set (just one person) Medium Data Set (3-5 persons, used for the experiments) Hard Data Set (cro...
graz, indoor, video, object, pedestrian, multiview, tracking, camera, multitarget, detection, calibrationThis is the database of biological images (from the genetics model system, Drosophila melanogaster, a fruit fly) across multiple levels of variation. ...
classification, fly, biology, animal, variation, geneticThe REALDISP (REAListic sensor DISPlacement) dataset has been originally collected to investigate the effects of sensor displacement in the activity rec...
time-series, multivariate, classificationFine-Grained Visual Classification of Aircraft (FGVC-Aircraft) is a benchmark dataset for the fine grained visual categorization of aircraft. Data, an...
benchmark, evaluation, fine-grained, classification, aircraft, airplane, recognitionThe donation includes 5 datasets, each of them defining a different learning problem: * LP1: failures in approach to grasp position * LP2: fail...
time-series, multivariate, classificationOur dataset is used by us to explore spammers in microblog and you can access our demo system at [Web Link]Please add :8080 after the domain name as por...
univariate, classification, sequential, causal-discovery, multivariate, textTRAINING File : I have created training file with 100+ non malacious examples and 250+ malacious samples. NON-MALACIOUS dataset is represented by +1 whi...
multivariate, classification