The Extreme Classification Repository: Multi-label Datasets & Code Kush Bhatia Himanshu Jain Prateek Jain Manik Varma The objective in extreme multi-label learning is to learn a classifier that can automatically tag a datapoint with the most relevant subset of labels from an extremely large label set. This page provides benchmark datasets and code that can be used for evaluating the performance of extreme multi-label algorithms. These multi-label datasets have been processed from their original source to create train/test splits ensuring that each label occurs at least once in both the training and the test set. This yields more realistic train/test splits as compared to uniform sampling which can drop many of the infrequently occurring, and hard to classify, labels from the test set. For example, on the WikiLSHTC-325K dataset, uniform sampling might loose ninety thousand of the hardest to classify labels from the test set. Results computed on the train/test splits provided on this page are therefore not comparable to results computed on the original sources or through uniform sampling. Please cite both the original source as well as the appropriate FastXML or SLEEC paper to avoid any ambiguity about which train/test split was used. Please also note that the Ads-1M and Ads-9M datasets are proprietary and not available for download.
The 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, textureFine-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 HCI 4D Lightfields dataset contains 11 objects with corresponding lightfields for depth estimation. Datasets can be downloaded individually below....
3d, benchmark, evaluation, reconstruction, depth, 4d, lightfieldWe 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, regressionAWS 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, resolutionMany 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 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, textureThe 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 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, 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 MOT Challenge is a framework for the fair evaluation of multiple people tracking algorithms. In this framework we provide: - A large collection of...
multiple, benchmark, evaluation, benhttp://motchallenge.net/chmark, dataset, target, video, pedestrian, 3d, tracking, surveillance, peopleThere 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, classificationThe Make3D Depth dataset s designed to learn features to estimate scene depth from a single image. This dataset contains aligned image and range data:...
single view, learning, indoor, outdoor, depth estimationThe 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, yearThis 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, classificationThe procedural texture perceptual similarity dataset contains a list of procedural textures along with their pairwise distances, as defined by a percept...
study, benchmark, procedural, textureProvide all relevant information about your data set.
multivariate, classification, clusteringThe 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, classificationAt 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 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, classificationThe CALTECH 256 dataset by Li Fei-Fei contains 30607 images for 256 categories.
object, detection, image, centered, classification, sceneThis data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family (pp. 500-...
multivariate, classificationThis 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, multivariateThis 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 "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, semanticIMPORTANT: 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, classificationPitch classes information has been extracted from MIDI sources downloaded from (JSB Chorales)[[Web Link]]. Meter information has been computed through t...
classification, sequentialAn evaluation benchmark for dense MVS for these datasets fountain-P11, Herz-Jesu-P8, entry-P10, castle-P19, Herz-Jesu-P25, castle-P30 . Images (correc...
3d reconstruction, benchmark, sfm, depth, dense, meshThe 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, classificationThis 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, classificationClassification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
detection, classificationThis 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, cameraThe Video Summarization (SumMe) dataset consists of 25 videos, each annotated with at least 15 human summaries (390 in total). The data consists of vide...
video, benchmark, summary, event, human, groundtruth, actionData 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, classification1593 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, 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, classificationWe present the 2017 DAVIS Challenge, a public competition specifically designed for the task of video object segmentation. Following the footsteps of ot...
code, quality, benchmark, video segmentation, object, segmentation, hd, tracking, resolutionThe 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, clusteringISPRS / EuroSDR Benchmark for Multi-Platform Photogrammetry In these pages you can get information about the BENCHMARK FOR MULTI-PLATFORM PHOTOGRAMMET...
urban, benchmark, reconstruction, aerial, photogrammetry, germany, 3d, multiview, switzerland, cityThis 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, classificationA 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, classificationThe object is a plaster reproduction of Temple of the Dioskouroi in Agrigento, Sicily. Click on thumbnail for a full-sized (640x480) image. Resolution o...
3d reconstruction, 3d, benchmark, sfm, multiviewFor 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, classificationThe 3D shape description dataset consists of multiple sub-datasets Descriptor Matching - Dataset 1 & 2 (Stanford) These datasets, created from some o...
description, 3d, benchmark, registration, reconstruction, shape, matchingMICCAI 2015 Challenge on Liver Ultrasound Tracking Munich, October 9, 2015 (Full Day) Outline Ultrasound (US) imaging is a widely used medical imagi...
ultrasound, liver, benchmark, real, therapy, human, medical, tracking, organAIMS 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, classificationISPRS and EuroSDR - Benchmark on High Density Aerial Image Matching Background and Scope of the project Innovations in matching algorithms as well a...
urban, benchmark, reconstruction, aerial, photogrammetry, germany, 3d, multiview, switzerland, cityThe 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, taxonomySVHN 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, numberThe data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more ...
multivariate, classificationThe 1DSfM Landmarks is a collection of community-based image reconstruction by Kyle Wilson and is comprised of 14 datasets with comparison to bundler gr...
urban, 3d, benchmark, city, reconstruction, landmark, groundtruthThe 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, classificationPredicted Attribute: Localization site of protein. ( non-numeric ). The references below describe a predecessor to this dataset and its development. Th...
multivariate, classificationA dataset for Attribute Based Classification. It consists of 30475 images of 50 animals classes with six pre-extracted feature representations for each ...
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, classificationNursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools. It was used during severa...
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, 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, clustering2 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, multivariateMining 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, classificationA 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, clusteringThe 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 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, sequentialThis 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, clusteringPN Learning - How does TLD work? Tracking estimates the object location as long as the object is visible. During tracking all observed patterns of the...
face, pedestrian, singletarget, learning, bike, object trackingA complex modern semi-conductor manufacturing process is normally under consistent surveillance via the monitoring of signals/variables collected from s...
multivariate, classification, causal-discoveryThe 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 MSR Learning to Rank are two large scale datasets for research on learning to rank: MSLR-WEB30k with more than 30,000 queries and a random sampling ...
sampling, search, learning, rankThe 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 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, calibrationThe 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, classificationThe Video Segmentation Benchmark (VSB100) provides ground truth annotations for the Berkeley Video Dataset, which consists of 100 HD quality videos divi...
video, object, segmentation, motion, pedestrian, benchmark, tracking, groundtruthVina 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, classificationScene Parsing Benchmark Scene parsing data and part segmentation data derived from ADE20K dataset could be download from MIT Scene Parsing Benchmark. ...
segmentation, annotation, benchmark, semantic, scene, recognitionThe 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, detectionIn 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, classificationSeveral 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, classificationFrom 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, clusteringThe 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, multivariateMADELON is an artificial dataset containing data points grouped in 32 clusters placed on the vertices of a five dimensional hypercube and randomly label...
multivariate, classificationThe 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, actionExamples 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, classificationWe 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, classificationThis dataset contains 503 sponges belonging to the Demospongiae class collected from the Mediterranean (451 sponges) and Atlantic oceans (52 sponges). E...
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 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, classificationDrugs 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, 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, sequentialDataset 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, clusteringNumber 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 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, clusteringHTRU2 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, classificationThis 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, clusteringThis dataset contains Australian legal cases from the Federal Court of Australia (FCA). The cases were downloaded from AustLII ([Web Link]). We included...
text, classificationHere's the abstract from the above reference: ABSTRACT: Machine learning tools show significant promise for knowledge acquisition, particularly when hu...
multivariate, classificationThis 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, classification1. 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, classificationCOCO-Stuff augments the COCO dataset with pixel-level stuff annotations for 10,000 images. These annotations can be used for scene understanding tasks l...
annotation, benchmark, coco, segmentation, things, captioning, stuff, groundtruth, semanticPart 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, classificationWe wanted to have a collection of action recognition papers and results that everybody can use for reference. The site will work by the community princi...
recognition, benchmark, action, datasetThe 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, laserAn Inductive Logic Programming (ILP) or relational learning framework is assumed (Muggleton, 1992). The learning system is provided with examples of che...
multivariate, classificationWe would like to announce the release of PASCAL-Context dataset. We augmented PASCAL VOC 2010 dataset with annotations for 400+ additional categories. I...
segmentation, benchmark, shape, recognition, pascal, category, semantic, denseThe Graffiti dataset by Krystian Mikolajczyk and Cordelia Schmid contains 48 images split into 8 sequences with 6 images each showing different structur...
benchmark, image rectification, feature detection, feature descriptionThe 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, classificationThe 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-theoryThe 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, classificationThis 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, classificationBiophysical models of mutant p53 proteins yield features which can be used to predict p53 transcriptional activity. All class labels are determined via...
multivariate, classificationThe 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, classificationProblem 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, classificationThe 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, detectionKEGG 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, clusteringThis 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, classificationThe Berkeley Video Segmentation Dataset (BVSD) contains videos for segmentation (boundary?) Dataset train Dataset test
video, segmentation, benchmarkPast Usage: (a) Rgnvaldsson, You and Garwicz (2015) 'State of the art prediction of HIV-1 protease cleavage sites', Bioinformatics, vol 31 (8),...
multivariate, classificationThis 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 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, clusteringThe 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, classificationBackground 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-discoveryPredicting 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, classificationThe Prague Texture Segmentation Datagenerator and Benchmark is designed to mutually compare and rank different (dynamic/static) texture segmenters (supe...
benchmark, texture segmentation, texture classification, syntheticThis 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, classificationPlaces205 dataase contains 2.5 million images from 205 scene categories for the academic public. The image dataset contains 2,448,873 images from 205 ...
urban, learning, scene, feature, place, recognitionBrief 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, classificationThis 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, multivariateIndoor 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, clusteringThere 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, classificationThis is one of three domains provided by the Oncology Institutenthat has repeatedly appeared in the machine learning literature. (See also breast-cance...
multivariate, classificationPredicting 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, classificationDatabase 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, classificationThis dataset contains features extracted from the Messidor image set to predict whether an image contains signs of diabetic retinopathy or not. All feat...
multivariate, classificationThe Berkeley DeepDrive Video Dataset contains 2x order of magnitude more video training data.
driving, urban, learning, endtoend, deep, autonomousA 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 Lane Level Localization dataset was collected on a highway in San Francisco with the following properties: * Reasonable traffic * Multiple lane h...
driving, benchmark, autonomous, video, road, gps, map, 3d, localization, carProvide 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 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, sequentialCar 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, classificationThe 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 object is a plaster dinosaur (stegosaurus). Click on thumbnail for a full-sized (640x480) image. Resolution of ground truth model: 0.00025m (you may...
3d reconstruction, 3d, benchmark, sfm, multiviewThe 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, detectionContains 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 Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is an extension of the BMS dataset with 33 additional video sequences. A total of 720 frames...
motion, benchmark, video, object, pedestrian, segmentation, tracking, groundtruthThe 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, clusteringVelloso, 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, clusteringTo encourage the open comparison of single image shadow removal in community, we provide an online benchmark site and a dataset. Our quantitatively veri...
illumination, shadow, benchmark, singleview, removalEach 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, classificationThis 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, classificationFeatures 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-theoryA dataset for testing object class detection algorithms. It contains 255 test images and features five diverse shape-based classes (apple logos, bottles...
classificationThe dataset has been enriched during the Nomao Challenge: [Web Link] organized along with the ALRA workshop (Active Learning in Real-world Applications)...
univariate, classificationISPRS Test Project on Urban Classification, 3D Building Reconstruction and Semantic Labeling. In this part of our working group site you will get furthe...
urban, benchmark, recognition, aerial, canada, segmentation, photogrammetry, germany, 3d, multiview, city, semanticThe 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, classificationThis 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, classificationThe 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, classificationData 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, classification