The Weizmann actions dataset by Blank, Gorelick, Shechtman, Irani, and Basri consists of ten different types of actions: bending, jumping jack, jumping, jump in place, running, side jumping, skipping, walking, one-hand and two-hand waving. There exist videos for each action by nine subjects. Testing is performed in a leave-one-out-fashion on a per person basis, i. e. training is done on eight subjects and testing on the unused subject and all its videos. https://www.cs.utexas.edu/~chaoyeh/web_action_data/dataset_list.html https://www.cs.utexas.edu/~chaoyeh/web_action_data/dataset_list.html
The 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, videoThe current video database containing six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping) performed several time…
action classification, segmentation, videoHollywood-2 datset contains 12 classes of human actions and 10 classes of scenes distributed over 3669 video clips and approximately 20.1 hours of video i…
action classification, segmentation, videoIt 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 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, wearableThe Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year. The dataset cap…
autonomous, car, classification, detection, driving, recognition, robot, segmentation, street, time, urban, video, yearThe SegTrack dataset consists of six videos (five are used) with ground truth pixelwise segmentation (6th penguin is not usable). The dataset is used for …
camera, flow, groundtruth, model, motion, object, optical, proposal, segmentation, stationary, videoThe Leeds Cows dataset by Derek Magee consists of 14 different video sequences showing a total of 18 cows walking from right to left in front of different…
animal, background, cow, detection, segmentation, videoJPL 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 video co-segmentation dataset contains 4 video sets which totally has 11 videos with 5 frames of each video labeled with the pixel-level ground-trut…
co-segmentation, dataset, segmentation, videoBackground Models Challenge (BMC) is a complete dataset and competition for the comparison of background subtraction algorithms. The main topics concern:…
background, change, detection, modeling, motion, segmentation, surveillance, videoThe 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 surveillanceThe Berkeley Video Segmentation Dataset (BVSD) contains videos for segmentation (boundary?) Dataset train Dataset test
benchmark, segmentation, videoThe 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 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 GaTech VideoSeg dataset consists of two (waterski and yunakim?) video sequences for object segmentation. There exists no groundtruth segmentation an…
camera, model, motion, object, segmentation, videoThe 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, videoThe multiple foreground video co-segmentation dataset, consisting of four sets, each with a video pair and two foreground objects in common. The dataset …
co-segmentation, segmentation, videoThe GaTech VideoContext dataset consists of over 100 groundtruth annotated outdoor videos with over 20000 frames for the task of geometric context evalua…
classification, context, geometry, nature, outdoor, segmentation, semantic, supervised, unsupervised, urban, videoThe UCF Person and Car VideoSeg dataset consists of six videos with groundtruth for video object segmentation. Surfing, jumping, skiing, sliding, big ca…
camera, groundtruth, model, motion, object, segmentation, videoWelcome 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 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 HandNet dataset contains depth images of 10 participants hands non-rigidly deforming infront of a RealSense RGB-D camera. This dataset includes 214…
articulation, classification, detection, fingertip, hand, pose, rgbd, segmentation, videoWe 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 MSR Action datasets is a collection of various 3D datasets for action recognition. See details http://research.microsoft.com/en-us/um/people/zliu/a…
3d, action, detection, recognition, reconstruction, videoThis web page contains video data and ground truth for 16 dances with two different dance patterns. The style of dancing is inspired by Scottish Ceilidh d…
action, analysis, background, chemistry, dance, motion, pattern, videoGaze data on video stimuli for computer vision and visual analytics. Converted 318 video sequences from several different gaze tracking data sets with p…
gaze data, metadata, polygon annotation, segmentation, videoThe 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, videoThe Yotta dataset consists of 70 images for semantic labeling given in 11 classes. It also contains multiple videos and camera matrices for 14km or drivin…
3d, camera, classification, reconstruction, segmentation, semantic, urban, videoThe 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, skeletonAt Udacity, we believe in democratizing education. How can we provide opportunity to everyone on the planet? We also believe in teaching really amazing an…
autonomous, car, classification, detection, driving, recognition, robot, segmentation, street, synthetic, time, urban, videoThe 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 dataset captures 25 people preparing 2 mixed salads each and contains over 4h of annotated accelerometer and RGB-D video data. Annotated activities co…
action, activity, classification, detection, recognition, tracking, videoThis dataset contains 7 challenging volleyball activity classes annotated in 6 videos from professionals in the Austrian Volley League (season 2011/12). A…
action, activity recognition, analysis, detection, sport, video, volleyballThe Airport MotionSeg dataset contains 12 sequences of videos of an aiprort scenario with small and large moving objects and various speeds. It is challen…
airport, camera, clustering, motion, segmentation, video, zoomAn indoor action recognition dataset which consists of 18 classes performed by 20 individuals. Each action is individually performed for 8 times (4 daytim…
action, cross-view, indoor, multi-camera, open-view, recognition, videoThe YouTube-Objects dataset is composed of videos collected from YouTube by querying for the names of 10 object classes. It contains between 9 and 24 vide…
detection, flow, object, optical, segmentation, videoThe 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 test sequences provide interested researchers a real-world multi-view test data set captured in the blue-c portals. The data is meant to be used for t…
action, camera, multiview, segmentation, trackingMany 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 handy …
action, benchmark, classification, detection, object, recognition, videoThe automotive multi-sensor (AMUSE) dataset consists of inertial and other complementary sensor data combined with monocular, omnidirectional, high frame …
api, city, image, inertial, streetside, traffic, urban, videoClassification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
segmentationThe 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, videoAbstract 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, understandingThe 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, segmentationThe contour patches dataset is a large dataset of images patch matches used for contour detection. References: C. L. Zitnick and D. Parikh The Role o…
contour, detection, edge, image, lowlevel, match, patch, segmentationDataset 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, recognitionThis dataset consist 51 oral presentation recorded with 2 ambient visual sensor (web-cam), 3 First Person View (FPV) cameras (1 on presenter and 2 on rand…
analysis, kinect, multi-sensor, presentation, quality, videoA Kinect dataset for hand detection in naturalistic driving settings as well as a challenging 19 dynamic hand gesture recognition dataset for human machin…
action10 videos as inputs, and segmented image sequences as ground-truth
segmentationScene Parsing Benchmark Scene parsing data and part segmentation data derived from ADE20K dataset could be download from MIT Scene Parsing Benchmark. m…
annotation, benchmark, recognition, scene, segmentation, semanticPedestrian Color Naming (PCN) dataset contains 14,213 images, each of which hand-labeled with color label for each pixel.
color naming, pedestrian, segmentationThe GaTech VideoStab dataset consists of N videos for the task of video stabilization. This code is implemented in Youtube video editor for stabilization.…
camera, path, stabilization, videoThe dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity …
actionThe Stanford Background Dataset is a new dataset introduced in Gould et al. (ICCV 2009) for evaluating methods for geometric and semantic scene understand…
classification, geometry, nature, segmentation, semantic, urbanGeometric Context Dataset: pixel labels for seven geometric classes for 300 images
segmentationThe dataset contains 15 documentary films that are downloaded from YouTube, whose durations vary from 9 minutes to as long as 50 minutes, and the total nu…
detection, object, videoThe 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 except …
action, classification, motion, multiview, recognitionContains six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping) performed several times by 25 subjects in four diff…
actionScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and insta…
3d, cad, indoor, layout, object, realism, recognition, rendering, room, scene, segmentation, syntheticThe Webcam Interestingness dataset consists of 20 different webcam streams, with 159 images each. It is annotated with interestingness ground truth, acqui…
classification, interest, ranking, retrieval, video, weather, webcamThis dataset consists of seven meal-preparation activities, each performed by 10 subjects. Subjects perform the activities based on the given cooking reci…
actionThe 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, segmentationGround truth database of 50 images with: Data, Segmentation, Labelling - Lasso, Labelling - Rectangle
segmentationThe xawAR16 dataset is a multi-RGBD camera dataset, generated inside an operating room (IHU Strasbourg), which was designed to evaluate tracking/relocaliz…
depth, medicine, operation, recognition, surgery, table, videoContains hand-labelled pixel annotations for 38 groups of images, each group containing a common foreground. Approximately 17 images per group, 643 images…
segmentationThe Pittsburgh Fast-food Image dataset (PFID) consists of 4545 still images, 606 stereo pairs, 3033600 videos for structure from motion, and 27 privacy-pr…
classification, food, laboratory, real, recognition, reconstruction, videoThe dataset consists of four temporally synchronized data modalities. These modalities include RGB videos, depth videos, skeleton positions, and inertial …
actionThe .enpeda.. Image Sequence Analysis Test Site (EISATS) offers sets of long bi- or trinocular image sequences recorded in the context of vision-based dri…
analysis, flow, motion, optical, segmentation, semantic, stereo, visionThe Geosemantic is a dataset of object locations from GIS and a query image with metadata. It is used to project the buildings and streets that are in the…
geography, gis, gps, segmentation, semantic, supervisedThe 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 2002.…
aerial, annotation, city, gsd, nir, pan, rgb, satellite, segmentation, semantic, superpixel, urban, zurichThis dataset comprises of 10 actions related to breakfast preparation, performed by 52 different individuals in 18 different kitchens.
actionThe 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, recognitionImage segmentation and boundary detection. Grayscale and color segmentations for 300 images, the images are divided into a training set of 200 images, and…
segmentationA New Color Image Database for Benchmarking of Face Detection Techniques and Human Skin Segmentation Techniques. A new color face image database for be…
benchmarking, detection, face, segmentation, skinThe FAce Semantic SEGmentation (FASSEG) repository contains datasets for multi-class semantic face segmentation. The FASSEG repository is composed by tw…
face, segmentationThis ETHZ CVL RueMonge 2014 dataset used for 3D reconstruction and semantic mesh labelling for urban scene understanding. It was first published in [1] …
3d, architecture, benchmark, classification, code, mesh, outdoor, paris, pointcloud, recognition, reconstruction, segmentation, semantic, source, urbanObservations of several subjects setting a table in different ways. Contains videos, motion capture data, RFID tag readings,...
action328 side-view color images of horses that were manually segmented. The images were randomly collected from the WWW.
segmentationHollywood-2 datset contains 12 classes of human actions and 10 classes of scenes distributed over 3669 video clips and approximately 20.1 hours of video i…
actionThe Olympic Sports Dataset contains YouTube videos of athletes practicing different sports.
actionThe Textures volume currently contains 154 images, all monochrome, 129 512x512 and 25 1024x1024. For the Brodatz texture images, the number in parenthes…
benchmark, classification, evaluation, segmentation, synthetic, textureThe MSR RGB-D Dataset 7-Scenes dataset is a collection of tracked RGB-D camera frames. The dataset may be used for evaluation of methods for different app…
depth, kinect, location, reconstruction, tracking, videoThe 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, sideviewUnlike the previous SHREC contests, the objective of this SHREC 2012 contest is to evaluate the performance of 3D-mesh segmentation techniques instead of …
3d, mesh, part, segmentationThis dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and …
actionThe ETHZ Extended Shape classes dataset from Konrad Schindler is larger dataset of shape categories, created by merging ETHZ shape classes with Konrad Sch…
clutter, object detection by shape, segmentationThe DynTex dataset consists of a comprehensive set of Dynamic Textures. Dynamic, or temporal, texture is a spatially repetitive, time-varying visual patte…
dynamic, segmentation, synthetic, texture, video repetitionThe database of nude and non-nude videos contains a collection of 179 video segments collected from the following movies: Alpha Dog, Basic Instinct, Befor…
movie, nude detection, videoThe BEOID dataset includes object interactions ranging from preparing a coffee to operating a weight lifting machine and opening a door. The dataset is re…
3d, egocentric, interaction, object, pose, tracking, videoCows for object segmentation, Five video sequences for motion segmentation
segmentationThis dataset contains 5 different collective activities : crossing, walking, waiting, talking, and queueing and 44 short video sequences some of which wer…
actionThe Babenko tracking dataset contains 12 video sequences for single object tracking. For each clip they provide (1) a directory with the original ima…
animal, face, object tracking, occlusion, single, videoPermanently growing database on lung tuberculosis patients. The data include radiological images (CT+XRay) plus social, clinical, and lab data as well as …
chest, ct, genome, medical, none, segmentation, tuberculosis, xrayThe 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, recognitionThe Western GCO Segmentation problem instances are provided to compare effects of graph size, neighborhood size, length of s to t paths, regional arc cons…
abdomen, adhead, babyface, binary, bone, face, liver, medical, optimization, segmentationThe 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 ext…
animal, camera, classification, fish, motion, nature, recognition, video, waterSceneNet RGB-D is dataset comprised of 5 million Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. It expands the previous work of…
3d, indoor, lighting, navigation, reconstruction, rendering, robot, scene, segmentation, slam, synthetic, trajectoryThis work attempts to provide two Hand Images Databases for hand biometrics: one is created using a mobile phone camera of modest quality, which we call…
authentication, biometric/ hand geometry, identification, mobile, person, segmentation, shape, webcamThe 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 Outex dataset is part of a framework for empirical evaluation of texture classification and segmentation algorithms. The framework is being construct…
benchmark, classification, segmentation, synthetic, textureWe would like to announce the release of PASCAL-Context dataset. We augmented PASCAL VOC 2010 dataset with annotations for 400+ additional categories. In …
benchmark, category, dense, pascal, recognition, segmentation, semantic, shapeThe SUNCG dataset is a Large 3D Model Repository for Indoor Scenes. SUNCG is an ongoing effort to establish a richly-annotated, large-scale dataset of…
3d, indoor, layout, object, realism, recognition, rendering, room, scene, segmentation, syntheticFully annotated dataset of RGB-D video data and data from accelerometers attached to kitchen objects capturing 25 people preparing two mixed salads each (…
actionISPRS Test Project on Urban Classification, 3D Building Reconstruction and Semantic Labeling. In this part of our working group site you will get further …
3d, aerial, benchmark, canada, city, germany, multiview, photogrammetry, recognition, segmentation, semantic, urbanThe 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, videoWe wanted to have a collection of action recognition papers and results that everybody can use for reference. The site will work by the community principl…
action, benchmark, dataset, recognitionThe VOT2016 pixel-wise annotations dataset contains pixel-wise per-frame annotations for sequences from VOT2016 dataset. The annotation is in a form of BW…
annotation, mask, object, segmentation, tracking, visualThe Traffic Video dataset consists of X video of an overhead camera showing a street crossing with multiple traffic scenarios. The dataset can be downlo…
detection, overhead, road, tracking, traffic, urban, video, viewThis is a subset of the dataset introduced in the SIGGRAPH Asia 2009 paper, Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences.…
camera, change, illumination, light, nature, static, time, urban, video, webcamThe All I Have Seen (AIHS) dataset is created to study the properties of total visual input in humans, for around two weeks Nebojsa Jojic wore a camera ca…
3d, clustering, indoor, outdoor, scene, similarity, study, summary, user, videoThe 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 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, webcamThe 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, semanticThe 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, trackingThis dataset contains videos of crowds and other high density moving objects. The videos are collected mainly from the BBC Motion Gallery and Getty Images…
segmentationThe 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 Weather and Illumination Database (WILD) is an extensive database of high quality images of an outdoor urban scene, acquired every hour over all seaso…
camera, change, depth, estimation, illumination, light, newyork, static, time, urban, video, weather, webcamThese sequences were used for our video interpolation work described in High-quality video view interpolation using a layered representation, C.L. Zitn…
3d reconstruction, camera, depth, segmentationThe LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedure…
facade, recognition, rectified, segmentation, semantic, urbanUBC3V is a synthetic dataset for training and evaluation of single or multiview depth-based pose estimation techniques. The nature of the data is similar …
multiview depth based pose estimation, segmentationThe Cholec80 dataset contains 80 videos of cholecystectomy surgeries performed by 13 surgeons. The videos are captured at 25 fps. The dataset is labeled w…
medicine, phase, recognition, surgery, tool, videoThe THUS10000 benchmark dataset comprises of 10,000 images, each of which has an unambiguous salient object and the object region is accurately annotated …
attention, saliency, salient object detection, segmentation, visualThe 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotati…
3d, building, depth, indoor, large-scale, normal, panorama, reconstruction, segmentation, semanticCOCO-Stuff augments the COCO dataset with pixel-level stuff annotations for 10,000 images. These annotations can be used for scene understanding tasks lik…
annotation, benchmark, captioning, coco, groundtruth, segmentation, semantic, stuff, thingsThe dataset contains 2326 video sequences of 15 different sport actions and human body joint annotations for all sequences.
actionShakeFive2 A collection of 8 dyadic human interactions with accompanying skeleton metadata. The metadata is frame based xml data containing the skeleton…
human, interaction, kinect, videoThe TVPR dataset includes 23 registration sessions. Each of the 23 folders contains the video of one registration session. Acquisitions have been performe…
clothing, depth, gender, identification, indoor, people, person, recognition, reidentification, top-view, videoThe Paris Art Deco Facades dataset consists of 79 / 80 images of rectified facades of the architectural style Art Deco, which has different sizes of windo…
architecture, city, facade, grammar, paris, procedural, recognition, segmentation, semantic, urbanThe Lane Level Localization dataset was collected on a highway in San Francisco with the following properties: * Reasonable traffic * Multiple lane hig…
3d, autonomous, benchmark, car, driving, gps, localization, map, road, videoThe 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 detecti…
3d, depth, leuven, reconstruction, segmentation, semantic, sfm, stereo, urbanThe INRIA Horses dataset from Frederic Jurie and Vittorio Ferrari consists of 170 images with one or more horses in side-view at several scales and clutte…
clutter, horse, nature, object detection by shape, segmentationThe Pornography database contains nearly 80 hours of 400 pornographic and 400 non-pornographic videos. For the pornographic class, we have browsed website…
pornography, video, video frames, video shotsThe 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 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 Brodatz dataset consists of 112 textures in grayscale images of various texture types. http://www.ee.oulu.fi/research/imag/texture/image_data/Brodat…
benchmark, classification, segmentation, synthetic, textureThe 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, wearableThese datasets were generated for the M2CAI challenges, a satellite event of MICCAI 2016 in Athens. Two datasets are available for two different challenge…
challenge, medicine, recognition, surgery, video, workflowThe VidPairs dataset contains 133 pairs of images, taken from 1080p HD (~2 megapixel) official movie trailers. Each pair consists of images of the same sc…
dense, description, flow, matching, optical, pair, patch, videoUCF50 is an action recognition dataset with 50 action categories, consisting of realistic videos taken from YouTube.
actionWe 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 dataset is composed of 150 synthetic scenes, captured with a (perspective) virtual camera, and each scene contains 3 to 5 objects. The model set is co…
mesh, recognition, segmentation, syntheticParis-rue-Madame dataset contains 3D Mobile Laser Scanning (MLS) data from rue Madame, a street in the 6th Parisian district (France). The test zone conta…
3d, classification, laser, pointcloud, segmentation, semanticThe 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 CMP Facade dataset consists of facade images assembled at the Center for Machine Perception, which includes 600 rectified images of facades from vario…
classification, facade, recognition, rectification, segmentation, semantic, similarity, structure, urbanThis dataset features video sequences that were obtained using a R/C-controlled blimp equipped with an HD camera mounted on a gimbal.The collection repres…
actionDataset of 9,532 images of humans performing 40 different actions, annotated with bounding-boxes.
actionWe present the 2017 DAVIS Challenge, a public competition specifically designed for the task of video object segmentation. Following the footsteps of othe…
benchmark, code, hd, object, quality, resolution, segmentation, tracking, video segmentationThe VSUMM (Video SUMMarization) dataset is of 50 videos from Open Video. All videos are in MPEG-1 format (30 fps, 352 x 240 pixels), in color and with sou…
keyframe, similarity, static, study, summary, type, user, videoThe Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). Dataset fe…
aerial, building, city, footprint, groundtruth, house, segmentation, semantic, urbanThe 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 de…
classification, dynamic, motion, recognition, scene, videoIn HouseCraft, we utilize rental ads to create realistic textured 3D models of building exteriors. In particular, we exploit the address of the property a…
building, city, floorplan, house, localization, registration, segmentation, semantic, streetview, urbanWalk, Run, Jump, Gallop sideways, Bend, One-hand wave, Two-hands wave, Jump in place, Jumping Jack, Skip.
actionThe 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, segmentationThe 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 dataset was captured by a Kinect device. There are 12 dynamic American Sign Language (ASL) gestures, and 10 people. Each person performs each gesture …
actionCollected from various sources, mostly from movies, and a small proportion from public databases, YouTube and Google videos. The dataset contains 6849 cli…
actionPenn-Fudan Pedestrian Detection and Segmentation
background, detection, motion, pedestrian, segmentationThe Daimler Urban Segmentation Dataset consists of video sequences recorded in urban traffic. The dataset consists of 5000 rectified stereo image pairs wi…
motion, outdoor, segmentation, semantic, stereo, urban200 gray level images along with ground truth segmentations
segmentationThe ETHZ Shape classes dataset from Vittorio Ferrari [?] consists of five object classes and a total of 255 images. All classes contain significant intra-…
applelogo, bottle, clutter, giraffe, matching, mug, nature, object detection by shape, segmentation, swanThe Microsoft COCO (mscoco) is an image recognition and segmentation dataset which contains more 300k images for more than 70 categories. Other features…
benchmark, context, detection, object, recognition, segmentation, semantic