The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About 250,000 frames (in 137 approximately minute long segments) with a total of 350,000 bounding boxes and 2300 unique pedestrians were annotated. The annotation includes temporal correspondence between bounding boxes and detailed occlusion labels. More information can be found in our PAMI 2011 and CVPR 2009 benchmarking papers. Details: Caltech Pedestrian Testing Dataset: All results in our CVPR09 paper were reported on this data. We give two set of results: on 50-pixel or taller, unoccluded or partially occluded pedestrians (reasonable), and a more detailed breakdown of performance as in the paper (detailed). Caltech Pedestrian Training Dataset: Results on the training data. These results are provided so researchers can compare their method without submitting a classifier for full evaluation. Results: reasonable, detailed. Caltech Pedestrian Japan Dataset: Similar to the Caltech Pedestrian Dataset (both in magnitude and annotation), except video was collected in Japan. We cannot release this data, however, we will benchmark results to give a secondary evaluation of various detectors. Results: reasonable, detailed. INRIA Pedestrian Test Dataset: Full image results on the INRIA Pedestrian dataset (evaluation details). ETH Pedestrian Dataset: Results on the ETH Pedestrian dataset (evaluation details). TUD-Brussels Pedestrian Dataset: Results on the TUD-Brussels Pedestrian dataset (evaluation details). Daimler Pedestrian Dataset: Results on the Daimler Pedestrian dataset (evaluation details). Updated sanitized annotations: https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/how-far-are-we-from-solving-pedestrian-detection/
MIT Pedestrian dataset from Papageorgiou and Poggio [IJCV2000] contains 509 training and 200 test images of pedestrians in city scenes (plus left-right ...
urban, pedestrian, boundingbox, frontview, people, object detectionDaimler Multi-Cue, Occluded Pedestrian Classification Benchmark Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border a...
image classification, urban, pedestrian, object detectionDaimler Stereo Pedestrian Detection Benchmark C. Keller, M. Enzweiler, and D. M. Gavrila, A New Benchmark for Stereo-based Pedestrian Detection, Proc...
urban, pedestrian, object detectionThe INRIA People dataset from Navneet Dalal and Bill Triggs [DalalCVPR2005] consists of training and testing data. The training contains 1805 images and...
pedestrian, sideview, boundingbox, frontview, object detection, humanThe PETS 2006 dataset contains 7 parts showing multi-sensor sequences containing left-luggage scenarios with increasing scene complexity at a train stat...
pedestrian, indoor, frontview, object tracking, object detection, multitargetThe Graz01 dataset by Andreas Opelt and Axel Pinz contains four types of images: bikes, people, background with no bikes, background with no people.
pedestrian, clutter, occlusion, object detection, graz, background, bikeThe BIWI Walking Pedestrians (EWAP) dataset shows walking pedestrians in busy scenarios from a bird eye view. Manually annotated. Data used for training...
trajectory, object tracking, overlap, object detection, aerial, pedestrian, occlusion, crowdThe 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, detectionSome 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, groundtruthThe 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, detectionThe PASCAL VOC Challenge datasets by Mark Everingham is a yearly dataset which has a central evaluation server and the final test data is not released. ...
chair, object detection, building, object segmentation, pedestrian, object pose, animal, car, airplaneWe 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, semanticThe Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010. The contest is composed of three different types of activity recognit...
trajectory, pedestrian, occlusion, crowd, object tracking, overlap, aerial, object detectionThe TUD Pedestrians dataset from Micha Andriluka, Stefan Roth and Bernt Schiele [AndrilukaCVPR2008] consists of 250 images with 311 fully visible people...
segmentation, pedestrian, sideview, object detectionThis dataset is for people tracking in wide baseline camera networks and was designed as a contest at ICPR 2012. The contest consists of two challeng...
trajectory, pedestrian, occlusion, crowd, object tracking, overlap, aerial, object detectionWe provide the three datasets used for testing our system for our ICCV 2007 publication, including annotations. Data was recorded using a pair of AVT Ma...
trajectory, pedestrian, occlusion, crowd, object tracking, object detection, overlapThe PSU HUB dataset is a detection, tracking dataset. Ground truth trajectory and grouping information for pedestrians walking in the PSU student union ...
trajectory, pedestrian, occlusion, crowd, object tracking, object detection, overlapThe 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, detectionThe TUD Pedestrians training dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 210 and 400 training images with X pedestrians with...
segmentation, pedestrian, sideview, object detectionThe Graz02 dataset by Andreas Opelt and Axel Pinz contains four categories of images: bikes, people, cars and a single background class. The annotation ...
pedestrian, clutter, object detection, graz, background, car, bikeThe 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 TUD Campus dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 71 images and 303 highly overlapping pedestrians with large scale...
segmentation, pedestrian, sideview, object tracking, object detection, overlapThe 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, scaleThe ICG Graz240 dataset consists of 240 buildings with 5400 redundant images with a total of 5542 window instances. Window detection itself is difficult...
urban, semantic segmentation, semantic, object detection, grazThe goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by...
urban, semantic segmentation, software, semantic, outdoor, object detectionThis 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, scaleThe Colosseum and San Marco are two image datasets for dense multiview stereo reconstructions used for evaluating the visual photo realism. The datase...
urban, aerial, streetside, 3d reconstruction, photo-realism, flickr, landmark, sfmThe Paris Art Deco Facades dataset consists of 79 / 80 images of rectified facades of the architectural style Art Deco, which has different sizes of win...
urban, paris, grammar, facade, recognition, segmentation, procedural, architecture, semantic, cityIn HouseCraft, we utilize rental ads to create realistic textured 3D models of building exteriors. In particular, we exploit the address of the property...
house, urban, registration, floorplan, building, streetview, segmentation, localization, city, semanticThe 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 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, detectionThe KU Leuven Facade dataset is used for architectural styles classification. M. Mathias, A. Martinovic, J. Weissenberg, S. Haegler, L. Van Gool: Auto...
image classification, urban, architecture, procedural reconstructionThe Cambridge-driving Labeled Video Database (CamVid) dataset from Gabriel Brostow [?] contains ten minutes of video footage and corresponding semantica...
urban, 3d reconstruction, semantic segmentation, semantic, sfm, depthThis is a dataset of rectified facade images and semantic labels. The goal of the annotation is to study the layout of the facades. It contains 50 im...
urban, semantic segmentation, semantic, procedural reconstruction, grazThe 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, semanticThe 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, detectionCMP Dataset by Ondra Chum contains 5 million images collected from the internet.
image retrieval, urban, large scaleAt 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 Google Street View dataset contains 62,058 high quality Google Street View images. The images cover the downtown and neighboring areas of Pittsburgh...
pittsburgh, urban, manhattan, sphere, address, panorama, google, streetview, gps, retrieval, localizationThe 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, carThe 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 signThe Dubrovnik6K and Rome16K datasets are image collections for SfM reconstruction, where the suffix refers to the number of images in the dataset. Dub...
urban, 3d reconstruction, dubrovnik, sfm, landmark, romeCMU/VMR Urban Image+Laser dataset contains 372 images linked with 3D laser points projections. There are additional images (due to the laser scanner bei...
urban, 3d reconstruction, laser, semantic segmentation, sfmThe Hopkins 155 Dataset has been created with the goal of providing an extensive benchmark for testing feature based motion segmentation algorithms. It ...
urban, optical flow, stereo estimation, motion segmentationZuBuD+, created in February 2017 by Federico Magliani (University of Parma), introduces many query images balancing the class evaluated from the previou...
building, image retrieval, urban, landmarkISPRS 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, semanticThe 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, detectionThe Leuven Stereo Scene dataset is a scene and depth dataset. There exist two variants of this dataset - a CVPR 2007 paper [1] by Leibe et al. for detec...
urban, stereo, depth, reconstruction, leuven, segmentation, 3d, semantic, sfmThe Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). Dataset ...
house, urban, aerial, building, segmentation, footprint, groundtruth, city, semanticThe 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 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, natureWe developed imaging hardware consisting of a color camera, a thermal camera and a beam splitter to capture the aligned multispectral (RGB color + Therm...
pedestrian, thermal, rgbThe 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 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, attributeThe LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedu...
segmentation, urban, semantic, recognition, facade, rectifiedThe Quad 6K dataset is a Structure-from-Motion dataset taken at Arts Quad at Cornell University campus and consists of 6514 images with ground truth pos...
urban, 3d reconstruction, groundtruth, sfm, landmark, 3d gpsAbstract 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 San Francisco Landmark Dataset for Mobile Landmark Recognition is a set of images and query images for localization. We present the San Francisco ...
urban, mobile, sanfrancisco, gps, retrieval, localization, landmark, city, calibrationThe Yale Face dataset from A. Georghiades contains 5760 single light source images of ten subjects, each shown in 9 poses and 64 illumination setups (le...
illumination, face detection, pedestrian, pose estimationThe Zurich Building dataset (ZuBud) from Hao Shao, Tomas Svoboda and Luc Van Gool [?] contains 1005 images with 201 buildings each in five views. There ...
image retrieval, urban, procedural, rectificationThis is a subset of the dataset introduced in the SIGGRAPH Asia 2009 paper, Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequence...
urban, nature, time, webcam, video, illumination, change, static, camera, lightThe 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, semanticThe 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 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, multiviewWe 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, sequenceThe 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 Google Street View Pittsburgh Research dataset is a street-level image collection provided by Google for research purposes. The dataset provided ...
panorama, pittsburgh, urban, 3d reconstruction, sfmThe 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, webcamThe 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, detectionThe 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 ECP Paris 2011 dataset consists of 104 images taken from rue Monge in the fifth district of Paris, we kept only 20 for training and 10 for testing. ...
urban, semantic segmentation, semantic, paris, procedural reconstructionDataset contains 1000 images of 100 persons, with 10 images per person and is freely available. All images were acquired by cropping ears from images fr...
person, pedestrian, ear, recognition, human, lighting, biometryThis repository contains labeled 3-D point cloud laser data collected from a moving platform in a urban environment. Data are provided for research purp...
urban, 3d reconstruction, laser, semantic segmentation, sfmThe Rent3D dataset comprises floorplans and images. The goal of this work is to enable a 3D virtual-tour of an apartment given a small set of monocular ...
building, urban, reconstruction, floorplan, layout, apartment, indoorThe 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, laneThe 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, semanticDatabase contains 798 images of 114 persons, with 7 images per person and is freely available for research purposes. All images were taken in supervised...
face, person, human, lighting, recognition, illumination, pedestrian, biometryThe Symmetry Facades dataset contains 9 building facades with multiple images. It used for coupled symmetry and structure from motion detection. Coup...
urban, reconstruction, facade, building, 3d, repetition, symmetry, sfmThe 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, semanticSince its launch in September 1999, Space Imaging IKONOS earth imaging satellite has provided a reliable stream of image data that has become the standa...
urban, 3d reconstruction, photogrammetry, aerial, sfmThis 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 Paris dataset consists of 6412 images. Images have high resolution and are in JPEG format. http://www.robots.ox.ac.uk/~vgg/data/parisbuildings/pa...
image retrieval, urban, landmark, parisThe Daimler Urban Segmentation Dataset consists of video sequences recorded in urban traffic. The dataset consists of 5000 rectified stereo image pairs ...
segmentation, urban, motion, stereo, semantic, outdoorThe York Urban Line Segment Database is a compilation of 102 images (45 indoor, 57 outdoor) of urban environments consisting mostly of scenes from the c...
vanishing point, urban, reconstruction, outdoor, pose estimation, manhattan, geometryThis site is dedicated to provide datasets for the Robotics community with the aim to facilitate result evaluations and comparisons. The datasets presen...
urban, laser, 3d, city, natureThe Robotic 3D Scan Repository from Osnabrueck contains 23 different datasets showing a veriaty of 3D scans for objects, humans, cities, university camp...
lidar, scan, urban, reconstruction, human, laser, heat, aerial, germany, 3d, bremen, city, osnabrueckISPRS / 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, cityBelgiumTS 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, calibrationThe We Are Family Stickmen dataset from Eichner and Ferrari contains X images with X people in group photos for human pose estimation with annotated 2D ...
body part, pedestrian, object poseWe take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our tasks of interest ...
stereo, object tracking, depth, reconstruction, detection tracking, object detection, segmentation, odometry, optical flow, semantic car depth, sfmThe eTrims dataset is comprised of two datasets, the 4-Class eTRIMS Dataset with 4 annotated object classes and the 8-Class eTRIMS Dataset with 8 annota...
urban, semantic segmentation, procedural reconstructionPlaces205 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, recognitionThe Eurasian Cities dataset contains 103 images of outdoor urban scenes taken in Eurasian cities. It is annotated with horizontal and vertical vanishing...
urban, vanishing, reconstruction, manhattan, outdoor, line, pose, point, geometryThe New College Data Set contains 30GB of data intended for use by the mobile robotics and vision research communities. Our anticipated users are partie...
urban, stereo, reconstruction, path, panorama, 3d, odometry, navigationISPRS 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 Pedestrian Parsing dataset contains 3,673 images from 171 videos of different Surveillance Scenes (PPSS), where 2,064 images are occluded and 1,609 ...
segmentation, pedestrian, parsingThe Symmetry set dataset is a collection of images at different illuminations for the purpose of image matching using local symmetry features. Image M...
urban, matching, lighting, image, illumination, building, feature, symmetry3 datasets: PTZ Tracking, Thermal-visible registration, Single object tracking
tracking, pedestrian, thermal, ptzThe 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, calibrationThe 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, planeThe Weather and Illumination Database (WILD) is an extensive database of high quality images of an outdoor urban scene, acquired every hour over all sea...
urban, estimation, depth, weather, time, newyork, webcam, video, illumination, change, static, camera, lightThe 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, detectionISPRS 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, citySVHN 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, numberRobust Multi-Person Tracking from Mobile Platforms In all cases, data was recorded using a pair of AVT Marlins F033C mounted on a chariot respectively...
tracking, pedestrian, color, sequenceThe Oxford Buildings dataset by James Philbin and Andrew Zisserman consists of 5062 images collected from Flickr by searching for particular Oxford land...
image retrieval, urban, oxford, landmarkThe Ecole Centrale Paris 2010 (Paris 2010) dataset consists of 30 images of densely annotated building facades in seven classes - wall, window, sky, sho...
urban, semantic segmentation, semantic, paris, procedural reconstructionThe 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, groundtruthPenn-Fudan Pedestrian Detection and Segmentation
segmentation, motion, background, pedestrian, detectionThe Berkeley DeepDrive Video Dataset contains 2x order of magnitude more video training data.
driving, urban, learning, endtoend, deep, autonomousThe Deformed Lattice Detection In Real-World Images dataset is used for regular grid detection. The authors have developed a robust and fast lattice det...
urban, symmetry, lattice detection, texture segmentationThe 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, calibrationThe Symmetric Bundle Adjustment dataset contains four sequences of the CAB building, Barcelona, Redmond and Capitole for 3D reconstruction considering s...
urban, 3d reconstruction, symmetry, sfm, bundle adjustmentThe 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, peopleOur repetitive pattern dataset with 106 images of app. 30 buildings from Pankrac, Prague and Marseille appearing in more than one image, number of appea...
image retrieval, urban, symmetry, repetition, image classificationZurich City Hall dataset (also CIPA dataset) nformation: Place: City Hall, Zurich, Switzerland Number of Images: 15, 1280 x 1000 pixels Camera: Fuj...
urban, 3d reconstruction, photogrammetry, sfm, zurichBelgiumTSC 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, belgiumThe Zurich Summer v1.0 dataset is a collection of 20 chips (crops), taken from a QuickBird acquisition of the city of Zurich (Switzerland) in August 200...
annotation, urban, pan, gsd, superpixel, nir, aerial, satellite, segmentation, zurich, rgb, city, semanticThe 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 automotive multi-sensor (AMUSE) dataset consists of inertial and other complementary sensor data combined with monocular, omnidirectional, high fram...
urban, api, image, video, inertial, streetside, traffic, cityThe TUD Motorbike dataset from Bastian Leibe contains 115 images collected from the internet. Each image contains one or more motorbikes at different sc...
pascal, motorbike, object detectionSheffield Building Image Dataset consists of over 3,000 low-resolution images of forty different buildings typically between 70 and 120 images per buil...
image retrieval, image classification, urban, sheffieldPN 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 trackingIdiap/ETHZ Faces and Poses Dataset dataset by L. Jie, B. Caputo and V. Ferrari contains 1703 image-caption pairs. [author] Captions contain the names of...
face detection, pedestrian, text, object poseThe 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 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, outdoorPedestrian Color Naming (PCN) dataset contains 14,213 images, each of which hand-labeled with color label for each pixel.
segmentation, pedestrian, color namingThe 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 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, groundtruthThe ECP New York dataset contains 10 manually segmented buildings from New York City, USA. Segmentation evaluating using Dice coefficient is calculated ...
urban, newyork, semantic segmentation, semantic, procedural reconstructionA new large-scale PEdesTrian Attribute (PETA) dataset. The dataset is by far the largest of its kind, covering more than 60 attributes on 19000 images. ...
pedestrian, crowdThe Buffy dataset contains images selected from the TV series, Buffy: the Vampire Slayer. We select a set of 452 images from the first two episodes for ...
segmentation, human, buffy, movie, object detectionThe Caltech Buildings dataset consists of images taken for 50 buildings around the Caltech campus. Five different images were taken for each building fr...
building, caltech, urban, retrieval, taxonomy, hierarchy