The 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 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 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, trackingThe 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, sideviewPedestrian Color Naming (PCN) dataset contains 14,213 images, each of which hand-labeled with color label for each pixel.
color naming, pedestrian, segmentationThe 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 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, 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 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 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 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, videoPenn-Fudan Pedestrian Detection and Segmentation
background, detection, motion, pedestrian, segmentationThe 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 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 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, zoomWe 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, worldWe 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, spaceHollywood-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, videoThe 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 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, trackingDatabase 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 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, urbanThe 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, videoWe 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 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 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 INRIA People dataset from Navneet Dalal and Bill Triggs [DalalCVPR2005] consists of training and testing data. The training contains 1805 images and X…
boundingbox, frontview, human, object detection, pedestrian, sideviewIn 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, urbanThe 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 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 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, 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, trackingThe 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 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 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 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 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, semanticClassification/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, videoDataset 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, recognitionThe 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, trackingThe 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, segmentation10 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, semanticThe 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, videoWe 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, thermalThe 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 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
segmentationScanNet 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 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, videoGround truth database of 50 images with: Data, Segmentation, Labelling - Lasso, Labelling - Rectangle
segmentationContains hand-labelled pixel annotations for 38 groups of images, each group containing a common foreground. Approximately 17 images per group, 643 images…
segmentationThe .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, zurichThe 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, trajectoryImage segmentation and boundary detection. Grayscale and color segmentations for 300 images, the images are divided into a training set of 200 images, and…
segmentationThe 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, robustA 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, segmentationThe 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, urbanThis 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, urbanBackground 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 surveillance328 side-view color images of horses that were manually segmented. The images were randomly collected from the WWW.
segmentationThe 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 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 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, textureUnlike 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, segmentationThe 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 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, segmentationGaze 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 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 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 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, pedestrianCows for object segmentation, Five video sequences for motion segmentation
segmentationThe current video database containing six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping) performed several time…
action classification, segmentation, videoA 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, pedestrianPermanently 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, xrayThis 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, trajectoryThe 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, segmentationIdiap/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, textMIT 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, urbanSceneNet 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 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 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 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, videoThe 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, syntheticThe Berkeley Video Segmentation Dataset (BVSD) contains videos for segmentation (boundary?) Dataset train Dataset test
benchmark, segmentation, videoISPRS 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, videoThe 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 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 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 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 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, trajectoryThis 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, videoThese 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 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, semanticThe 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, urbanCOCO-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, thingsPN 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 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, 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 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, segmentationDaimler 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 Weizmann actions dataset by Blank, Gorelick, Shechtman, Irani, and Basri consists of ten different types of actions: bending, jumping jack, jumping, j…
action, action classification, segmentation, videoThe 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, pedestrianThe 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, textureDaimler 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 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 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, tracking