MIT Pedestrian dataset from Papageorgiou and Poggio [IJCV2000] contains 509 training and 200 test images of pedestrians in city scenes (plus left-right re…
boundingbox, frontview, object detection, pedestrian, people, urbanThe TUD Pedestrians dataset from Micha Andriluka, Stefan Roth and Bernt Schiele [AndrilukaCVPR2008] consists of 250 images with 311 fully visible people w…
object detection, pedestrian, segmentation, sideviewThe TUD Pedestrians training dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 210 and 400 training images with X pedestrians with s…
object detection, pedestrian, segmentation, sideviewThe TUD Campus dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 71 images and 303 highly overlapping pedestrians with large scale c…
object detection, object tracking, overlap, pedestrian, segmentation, sideviewThe PETS 2006 dataset contains 7 parts showing multi-sensor sequences containing left-luggage scenarios with increasing scene complexity at a train statio…
frontview, indoor, multitarget, object detection, object tracking, pedestrianThe PETS 2009 dataset contains 3 parts showing multi-view sequences containing pedestrians walking in an outdoor environment. The parts are used for perso…
detection, frontview, human, occlusion multitarget, outdoor, overlap, pedestrian, trackingThe Graz01 dataset by Andreas Opelt and Axel Pinz contains four types of images: bikes, people, background with no bikes, background with no people.
background, bike, clutter, graz, object detection, occlusion, pedestrianThe 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 tr…
buffy, human, movie, object detection, segmentationDatabase contains 798 images of 114 persons, with 7 images per person and is freely available for research purposes. All images were taken in supervised c…
biometry, face, human, illumination, lighting, pedestrian, person, recognitionThe Graz02 dataset by Andreas Opelt and Axel Pinz contains four categories of images: bikes, people, cars and a single background class. The annotation ha…
background, bike, car, clutter, graz, object detection, pedestrianWe provide the three datasets used for testing our system for our ICCV 2007 publication, including annotations. Data was recorded using a pair of AVT Marl…
crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe PASCAL VOC is augmented with segmentation annotation for semantic parts of objects. For example, for the person category, we provide segmentation mask…
detection, human, object, part, pascal, pedestrian, recognition, segmentation, semanticWe collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions u…
clustering, detection, face, human, identification, multiview, pedestrian, real, recognition, sequence, surveillance, worldDaimler Stereo Pedestrian Detection Benchmark C. Keller, M. Enzweiler, and D. M. Gavrila, A New Benchmark for Stereo-based Pedestrian Detection, Proc. …
object detection, pedestrian, urbanThe BIWI Walking Pedestrians (EWAP) dataset shows walking pedestrians in busy scenarios from a bird eye view. Manually annotated. Data used for training i…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010. The contest is composed of three different types of activity recognitio…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe crowd datasets are collected from a variety of sources, such as UCF and data-driven crowd datasets. The sequences are diverse, representing dense crow…
anomaly, crowd, detection, human, pedestrian, scene, understanding, videoThe Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban e…
object detection, pedestrian, urbanThe PSU HUB dataset is a detection, tracking dataset. Ground truth trajectory and grouping information for pedestrians walking in the PSU student union bu…
crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe 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. Th…
airplane, animal, building, car, chair, object detection, object pose, object segmentation, pedestrianThe UrbanStreet dataset used in the paper can be downloaded here [188M] . It contains 18 stereo sequences of pedestrians taken from a stereo rig mounted o…
detection, human, multitarget, pedestrian, recognition, segmentation, tracking, urban, videoThe TUD Crossing dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 201 images with 1008 highly overlapping pedestrians with signific…
detection, multitarget, overlap, pedestrian, segmentation, sideview, tracking, urbanThe High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedestr…
benchmark, camera, detection, high-definition, human, indoor, lisbon, multiview, network, pedestrian, re-identification, surveillance, tracking, videoThe Stanford 40 Actions dataset contains images of humans performing 40 actions. In each image, we provide a bounding box of the person who is performing …
action, boundingbox, detection, human, recognitionThis dataset is for people tracking in wide baseline camera networks and was designed as a contest at ICPR 2012. The contest consists of two challenges…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryDataset contains 1000 images of 100 persons, with 10 images per person and is freely available. All images were acquired by cropping ears from images from…
biometry, ear, human, lighting, pedestrian, person, recognitionDaimler Multi-Cue, Occluded Pedestrian Classification Benchmark Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border aro…
image classification, object detection, pedestrian, urbanThe 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for b…
3d, biometry, emotion, face, frontview, recognition, segmentation3 datasets: PTZ Tracking, Thermal-visible registration, Single object tracking
pedestrian, ptz, thermal, trackingWelcome to the homepage of the gvvperfcapeva datasets. This site serves as a hub to access a wide range of datasets that have been created for projects of…
action, depth, face, human, mesh, multiview, pose, reconstruction, tracking, videoThe PIROPO database (People in Indoor ROoms with Perspective and Omnidirectional cameras) comprises multiple sequences recorded in two different indoor ro…
detection, fisheye, human, indoor, omnidirectional, people, perspective, room, surveillanceDataset 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 the …
action, biometry, classification, foot, gait, human, motion, pressure, recognitionThe CHALEARN Multi-modal Gesture Challenge is a dataset +700 sequences for gesture recognition using images, kinect depth, segmentation and skeleton data.…
action, depth, gesture, human, illumination, kinect, recognition, segmentation, skeletonWe developed imaging hardware consisting of a color camera, a thermal camera and a beam splitter to capture the aligned multispectral (RGB color + Thermal…
pedestrian, rgb, thermalPedestrian Color Naming (PCN) dataset contains 14,213 images, each of which hand-labeled with color label for each pixel.
color naming, pedestrian, segmentationThe 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 v…
object detection, outdoor, semantic, semantic segmentation, software, urbanThis UIUC Cars dataset by Shivani Agarwal, Aatif Awan and Dan Roth contains images of side views of cars for use in evaluating object detection algorithms…
car, detection, recognition, scale, sideview, urbanThe Pedestrian Parsing dataset contains 3,673 images from 171 videos of different Surveillance Scenes (PPSS), where 2,064 images are occluded and 1,609 ar…
parsing, pedestrian, segmentationThe Robotic 3D Scan Repository from Osnabrueck contains 23 different datasets showing a veriaty of 3D scans for objects, humans, cities, university campus…
3d, aerial, bremen, city, germany, heat, human, laser, lidar, osnabrueck, reconstruction, scan, urbanThe Person Re-ID (PRID) 2011 dataset was created in co-operation with the Austrian Institute of Technology for the purpose of testing person re-identifica…
appearance, change, classification, graz, identification, illumination, multiview, pedestrian, trajectoryThe Shefeld Kinect Gesture (SKIG) dataset contains 2160 hand gesture sequences (1080 RGB sequences and 1080 depth sequences) collected from 6 subjects. Al…
action, depth, gesture, human, illumination, kinect, recognitionThe 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 an…
background, change, coffee, detection, graz, illumination, indoor, multitarget, pedestrian, robustThe Daimler Mono Pedestrian Classification Benchmark dataset consists of two parts: a base data set. The base data set contains a total of 4000 pedestri…
classification, illumination, object, outdoor, pedestrian, scale, urbanJPL First-Person Interaction dataset (JPL-Interaction dataset) is composed of human activity videos taken from a first-person viewpoint. The dataset parti…
action, human, interactive, motion, recognition, videoThe Our Database of Faces (ORL) dataset contains ten different images of each of 40 distinct subjects. For some subjects, the images were taken at differe…
expression, face, human, illumination, recognitionThe dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Dataset, totally approximately 100 videos sequences (1000GB, 50 …
action, background, behavior, human, segmentation, video surveillanceA large dataset of geotagged face images collected from Flickr. The zip file contains text files containing urls of the images. Face2GPS: Estimating Geo…
age, classification, face, gender, geotagged, human, localizationThe Video Segmentation Benchmark (VSB100) provides ground truth annotations for the Berkeley Video Dataset, which consists of 100 HD quality videos divide…
benchmark, groundtruth, motion, object, pedestrian, segmentation, tracking, videoThe RGB-D Person Re-identification dataset is for person re-identification using depth information. The main motivation is that the standard techniques (s…
3d, classification, depth, identification, pedestrian, shapeThe MIT + CMU frontal face dataset from H. Rowley contains 130 images with 507 labeled frontal faces from movie, portrait and media sources. It is mostly …
detection object boundingbox, face, face detection, frontviewChairGest is an open challenge / benchmark. The task consists in spotting and recognizing gestures from multiple synchronized sensors: 1 Kinect and 4 Xse…
benchmark, detection, gesture, human, kinect, recognitionA 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. I…
crowd, pedestrianIdiap/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 s…
face detection, object pose, pedestrian, textThe TU Berlin Multi-Object and Multi-Camera Tracking Dataset (MOCAT) is a synthetic dataset to train and test tracking and detection systems in a virtual …
animal, detection, evaluation, multi-class, multi-view, pedestrian, synthetic, tracking, vehicleThe Yale Face dataset from A. Georghiades contains 5760 single light source images of ten subjects, each shown in 9 poses and 64 illumination setups (lead…
face detection, illumination, pedestrian, pose estimationTo evaluate our method we designed a new ground truth database of 50 images. The following zip-files contain: Data, Segmentation, Labelling - Lasso, Label…
background, boundingbox, color, image segmentation, optimizationThe QMUL Junction dataset is a busy traffic scenario for research on activity analysis and behavior understanding. Video length: 1 hour (90000 frames)…
behavior, counting, crowd, detection, motion, pedestrian, tracking, videoGroup emotion recognition in images - Happiness Intensity labels for group of people in images. The images have been collected from Flickr using keyword s…
behavior, emotion, facial expression, flickr, group, human, wildThe Mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research. Ground truth: Over 60,000 pedestrians were …
counting, crowd, detection, indoor, pedestrian, tracking, video, webcamWe 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 q…
car, cities, detection, pedestrian, person, segmentation, semantic, stereo, urban, video, weaklyThe ICG Graz240 dataset consists of 240 buildings with 5400 redundant images with a total of 5542 window instances. Window detection itself is difficult d…
graz, object detection, semantic, semantic segmentation, urbanThe ICG Lab 6 (Multi-Camera Multi-Object Tracking) dataset contains 6 indoor people tracking scenarios recorded at our laboratory using 4 static Axis P134…
calibration, camera, detection, evaluation, graz, laboratory, multiview, object, pedestrian, segmentation, trackingWe share our omnidirectional and panoramic image dataset (with annotations) to be used for human and car detection. Please reach through: http://cvrg.iyt…
car, detection, human, omnidirection, panorama, recognitionThe TUD Motorbike dataset from Bastian Leibe contains 115 images collected from the internet. Each image contains one or more motorbikes at different scal…
motorbike, object detection, pascalt is composed of food intake movements, recorded with Kinect V1 (320240 depth frame resolution), simulated by 35 volunteers for a total of 48 tests. The d…
age, behavior, food, groundtruth, human, intake, kinect, monitoring, pointcloud, trackingWe introduce the Shelf dataset for multiple human pose estimation from multiple views. In addition we annotate the body joints in the Campus dataset from …
3d, capture, estimation, human, motion, multiple, pose, viewThe CVC Partial Occlusion Virtual Pedestrian datasets (CVC-01 to CVC-06) cover a range of scenarios of occluded pedestrians generated in a virtual and rea…
classification, detection, occlusion, pedestrian, synthetic, tracking, urbanShakeFive2 A collection of 8 dyadic human interactions with accompanying skeleton metadata. The metadata is frame based xml data containing the skeleton…
human, interaction, kinect, videoPN Learning - How does TLD work? Tracking estimates the object location as long as the object is visible. During tracking all observed patterns of the o…
bike, face, learning, object tracking, pedestrian, singletargetThe Video Summarization (SumMe) dataset consists of 25 videos, each annotated with at least 15 human summaries (390 in total). The data consists of videos…
action, benchmark, event, groundtruth, human, summary, videoThe Microsoft Research Cambridge-12 Kinect gesture dataset consists of sequences of human movements, represented as body-part locations, and the associate…
action, gesture, human, kinect, recognitionThe Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is an extension of the BMS dataset with 33 additional video sequences. A total of 720 frames i…
benchmark, groundtruth, motion, object, pedestrian, segmentation, tracking, videoThe KTH Multiview Football dataset contains 771 images of football players includes images taken from 3 views at 257 time instances 14 annotated body join…
camera, detection, game, multitarget, multiview, object, outdoor, pedestrian, pose, recognition, soccer, trackingThe Salient Montages is a human-centric video summarization dataset from the paper [1]. In [1], we present a novel method to generate salient montages f…
human, montage, saliency, summarization, video, wearableThe TUG (Timed Up and Go test) dataset consists of actions performed three times by 20 volunteers. The people involved in the test are aged between 22 and…
accelerometer, action, depth image processing - tug, human, kinect, recognition, time, video, wearableThe multi-modal/multi-view datasets are created in a cooperation between University of Surrey and Double Negative within the EU FP7 IMPART project. The …
3d, action, color, dynamic, emotion, face, human, indoor, lidar, model, multi-mode, multi-view, outdoor, rgbd, videoWe take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our tasks of interest ar…
depth, detection tracking, object detection, object tracking, odometry, optical flow, reconstruction, segmentation, semantic car depth, sfm, stereoAWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have require…
amazon, biology, classification, deep, human, image, learning, recognition, resolution, satellite, segmentation, spaceThe Notre Dame de Paris dataset used for 3D SfM reconstruction and contains 715 images provided by Noah Snavely. There are also version for NotreDame b…
3d, 3d reconstruction, flickr, frontview, landmark, limited, paris, pointcloud, sfmIt is composed of ADL (activity daily living) and fall actions simulated by 11 volunteers. The people involved in the test are aged between 22 and 39, wit…
accelerometer, action, depth, fall detection - adl, human, kinect, recognition, video, wearableThe ICG Multi-Camera and Virtual PTZ dataset contains the video streams and calibrations of several static Axis P1347 cameras and one panoramic video from…
calibration, camera, crowd, detection, graz, multitarget, multiview, network, object, outdoor, panorama, pedestrian, tracking, videoThe 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 (crowd…
calibration, camera, detection, graz, indoor, multitarget, multiview, object, pedestrian, tracking, videoThe MOT Challenge is a framework for the fair evaluation of multiple people tracking algorithms. In this framework we provide: - A large collection of d…
3d, benchmark, benhttp://motchallenge.net/chmark, dataset, evaluation, multiple, pedestrian, people, surveillance, target, tracking, videoThe FaceScrub dataset comprises a total of 107818 unconstrained face images of 530 celebrities crawled from the Internet, with about 200 images per person…
celebrity, detection, face, human, people, recognitionThe Multicamera Human Action Video Data (MuHAVi) Manually Annotated Silhouette Data (MAS) are two datasets consisting of selected action sequences for th…
action, background, behavior, human, segmentation, videoMICCAI 2015 Challenge on Liver Ultrasound Tracking Munich, October 9, 2015 (Full Day) Outline Ultrasound (US) imaging is a widely used medical imaging…
benchmark, human, liver, medical, organ, real, therapy, tracking, ultrasoundThe Where Who Why (WWW) dataset provides 10,000 videos with over 8 million frames from 8,257 diverse scenes, therefore offering a superior comprehensive d…
crowd, detection, flow, optical, pedestrian, recognition, surveillance, videoThe 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 hu…
body part, object pose, pedestrianThe SPHERE human skeleton movements dataset was created using a Kinect camera, that measures distances and provides a depth map of the scene instead of th…
action, behavior, depth, human, kinect, motion, movement, skeleton, videoSome datasets and evaluation tools are provided on this page for four different computer vision and computer graphics problems. Population counting Lin…
3d, counting, crowd, detection, groundtruth, line, network, object, pedestrian, pointcloud, reconstruction, road, surface, urbanRobust Multi-Person Tracking from Mobile Platforms In all cases, data was recorded using a pair of AVT Marlins F033C mounted on a chariot respectively a…
color, pedestrian, sequence, trackingPenn-Fudan Pedestrian Detection and Segmentation
background, detection, motion, pedestrian, segmentationThe Daimler Mono Pedestrian Detection Benchmark dataset contains a large training and test set. The training set contains 15.560 pedestrian samples (image…
detection, mono, object, outdoor, pedestrian, scale, urbanThe domain-specific personal videos highlight dataset from the paper [1] describes a fully automatic method to train domain-specific highlight ranker for…
action, domain, human, recognition, saliency, summarization, video, wearableAbstract Scene understanding has (again) become a focus of computer vision research, leveraging advances in detection, context modeling, and tracking. In…
3d, car, classification, pedestrian, scene, segmentation, semantic, understanding