Image segmentation and boundary detection. Grayscale and color segmentations for 300 images, the images are divided into a training set of 200 images, and a test set of 100 images.
ISPRS 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 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 t...
geography, gps, segmentation, gis, supervised, semanticThe 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for...
face, emotion, segmentation, 3d, recognition, biometry, frontviewThe 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, yearAWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have requi...
space, human, recognition, image, amazon, satellite, segmentation, learning, deep, classification, biology, resolutionPedestrian 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, calibrationBackground Models Challenge (BMC) is a complete dataset and competition for the comparison of background subtraction algorithms. The main topics concer...
motion, background, video, modeling, segmentation, change, surveillance, detectionThe 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, groundtruthScene Parsing Benchmark Scene parsing data and part segmentation data derived from ADE20K dataset could be download from MIT Scene Parsing Benchmark. ...
segmentation, annotation, benchmark, semantic, scene, recognitionContains hand-labelled pixel annotations for 38 groups of images, each group containing a common foreground. Approximately 17 images per group, 643 imag...
segmentationThe HandNet dataset contains depth images of 10 participants hands non-rigidly deforming infront of a RealSense RGB-D camera. This dataset includes 2...
rgbd, hand, articulation, video, segmentation, classification, pose, fingertip, detectionThe 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, detectionThis 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 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 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 ...
mesh, segmentation, recognition, syntheticThe SUNCG dataset is a Large 3D Model Repository for Indoor Scenes. SUNCG is an ongoing effort to establish a richly-annotated, large-scale dataset ...
scene, layout, recognition, indoor, object, segmentation, rendering, 3d, realism, room, syntheticThe multiple foreground video co-segmentation dataset, consisting of four sets, each with a video pair and two foreground objects in common. The datase...
video, segmentation, co-segmentationThe THUS10000 benchmark dataset comprises of 10,000 images, each of which has an unambiguous salient object and the object region is accurately annotate...
saliency, segmentation, salient object detection, attention, 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 annota...
reconstruction, depth, large-scale, indoor, normal, building, panorama, segmentation, 3d, semanticThe UCF Person and Car VideoSeg dataset consists of six videos with groundtruth for video object segmentation. Surfing, jumping, skiing, sliding, big ...
video, object, segmentation, motion, model, camera, groundtruthThe FAce Semantic SEGmentation (FASSEG) repository contains datasets for multi-class semantic face segmentation. The FASSEG repository is composed by ...
face, segmentationThe 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-tr...
video, segmentation, co-segmentation, datasetUnlike the previous SHREC contests, the objective of this SHREC 2012 contest is to evaluate the performance of 3D-mesh segmentation techniques instead o...
mesh, segmentation, 3d, partThe 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 clut...
segmentation, clutter, horse, object detection by shape, natureWe present the 2017 DAVIS Challenge, a public competition specifically designed for the task of video object segmentation. Following the footsteps of ot...
code, quality, benchmark, video segmentation, object, segmentation, hd, tracking, resolutionThe 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 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 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 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...
tracking, segmentation, camera, action, multiviewUBC3V is a synthetic dataset for training and evaluation of single or multiview depth-based pose estimation techniques. The nature of the data is simila...
segmentation, multiview depth based pose estimationThe Multicamera Human Action Video Data (MuHAVi) Manually Annotated Silhouette Data (MAS) are two datasets consisting of selected action sequences for ...
video, segmentation, action, behavior, human, backgroundThe 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 GaTech VideoSeg dataset consists of two (waterski and yunakim?) video sequences for object segmentation. There exists no groundtruth segmentation ...
video, object, segmentation, motion, model, camera328 side-view color images of horses that were manually segmented. The images were randomly collected from the WWW.
segmentationWe 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 Airport MotionSeg dataset contains 12 sequences of videos of an aiprort scenario with small and large moving objects and various speeds. It is chall...
video, segmentation, motion, airport, clustering, camera, zoomThe 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, semanticWe 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, sfmThis dataset contains videos of crowds and other high density moving objects. The videos are collected mainly from the BBC Motion Gallery and Getty Imag...
segmentationAt 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 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 differe...
video, segmentation, detection, cow, animal, backgroundClassification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
segmentationThe dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Dataset, totally approximately 100 videos sequences (1000GB, 5...
segmentation, action, behavior, video surveillance, human, backgroundThe ETHZ Shape classes dataset from Vittorio Ferrari [?] consists of five object classes and a total of 255 images. All classes contain significant intr...
clutter, swan, bottle, matching, nature, object detection by shape, mug, giraffe, segmentation, applelogoPenn-Fudan Pedestrian Detection and Segmentation
segmentation, motion, background, pedestrian, detectionThe 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 current video database containing six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping) performed several ti...
video, segmentation, action classificationThe Weizmann actions dataset by Blank, Gorelick, Shechtman, Irani, and Basri consists of ten different types of actions: bending, jumping jack, jumping,...
video, segmentation, action, action classificationThe .enpeda.. Image Sequence Analysis Test Site (EISATS) offers sets of long bi- or trinocular image sequences recorded in the context of vision-based d...
motion, stereo, analysis, flow, segmentation, optical, semantic, visionThe VOT2016 pixel-wise annotations dataset contains pixel-wise per-frame annotations for sequences from VOT2016 dataset. The annotation is in a form of ...
object, segmentation, annotation, mask, visual, trackingHollywood-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...
video, segmentation, action classificationSceneNet RGB-D is dataset comprised of 5 million Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. It expands the previous work ...
trajectory, reconstruction, scene, slam, lighting, indoor, segmentation, robot, rendering, 3d, synthetic, navigationThe DynTex dataset consists of a comprehensive set of Dynamic Textures. Dynamic, or temporal, texture is a spatially repetitive, time-varying visual pat...
segmentation, dynamic, video repetition, synthetic, textureThe 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 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 detectionThe 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, semanticGaze data on video stimuli for computer vision and visual analytics. Converted 318 video sequences from several different gaze tracking data sets with...
video, metadata, segmentation, gaze data, polygon annotationThe contour patches dataset is a large dataset of images patch matches used for contour detection. References: C. L. Zitnick and D. Parikh The Role...
lowlevel, match, edge, image, contour, segmentation, patch, detectionGround truth database of 50 images with: Data, Segmentation, Labelling - Lasso, Labelling - Rectangle
segmentationGeometric Context Dataset: pixel labels for seven geometric classes for 300 images
segmentationThe 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, natureCOCO-Stuff augments the COCO dataset with pixel-level stuff annotations for 10,000 images. These annotations can be used for scene understanding tasks l...
annotation, benchmark, coco, segmentation, things, captioning, stuff, groundtruth, semanticThe 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, rectifiedAbstract 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 Outex dataset is part of a framework for empirical evaluation of texture classification and segmentation algorithms. The framework is being constru...
segmentation, benchmark, classification, synthetic, textureParis-rue-Madame dataset contains 3D Mobile Laser Scanning (MLS) data from rue Madame, a street in the 6th Parisian district (France). The test zone con...
segmentation, 3d, semantic, classification, pointcloud, laserThe Brodatz dataset consists of 112 textures in grayscale images of various texture types. http://www.ee.oulu.fi/research/imag/texture/image_data/Brod...
segmentation, benchmark, classification, synthetic, textureThe CHALEARN Multi-modal Gesture Challenge is a dataset +700 sequences for gesture recognition using images, kinect depth, segmentation and skeleton dat...
gesture, skeleton, kinect, depth, human, recognition, action, illumination, segmentationWe would like to announce the release of PASCAL-Context dataset. We augmented PASCAL VOC 2010 dataset with annotations for 400+ additional categories. I...
segmentation, benchmark, shape, recognition, pascal, category, semantic, denseScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and ins...
scene, layout, recognition, indoor, object, cad, segmentation, rendering, 3d, realism, room, syntheticThe 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 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, overlapCows for object segmentation, Five video sequences for motion segmentation
segmentationThe 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 vi...
video, object, flow, segmentation, detection, opticalA New Color Image Database for Benchmarking of Face Detection Techniques and Human Skin Segmentation Techniques. A new color face image database for ...
face, segmentation, skin, detection, benchmarkingThe SegTrack dataset consists of six videos (five are used) with ground truth pixelwise segmentation (6th penguin is not usable). The dataset is used fo...
motion, video, object, proposal, flow, segmentation, stationary, model, camera, optical, groundtruthPermanently growing database on lung tuberculosis patients. The data include radiological images (CT+XRay) plus social, clinical, and lab data as well a...
medical, segmentation, xray, chest, genome, none, tuberculosis, ctThe Microsoft COCO (mscoco) is an image recognition and segmentation dataset which contains more 300k images for more than 70 categories. Other featur...
object, segmentation, benchmark, semantic, context, recognition, detectionThe Textures volume currently contains 154 images, all monochrome, 129 512x512 and 25 1024x1024. For the Brodatz texture images, the number in parenth...
segmentation, benchmark, evaluation, classification, synthetic, textureThese sequences were used for our video interpolation work described in High-quality video view interpolation using a layered representation, C.L. Zi...
segmentation, 3d reconstruction, camera, depthThe 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, groundtruth10 videos as inputs, and segmented image sequences as ground-truth
segmentationThe 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, semanticThe Berkeley Video Segmentation Dataset (BVSD) contains videos for segmentation (boundary?) Dataset train Dataset test
video, segmentation, benchmark200 gray level images along with ground truth segmentations
segmentationThe Western GCO Segmentation problem instances are provided to compare effects of graph size, neighborhood size, length of s to t paths, regional arc co...
face, adhead, abdomen, liver, binary, medical, segmentation, optimization, bone, babyfaceThe ETHZ Extended Shape classes dataset from Konrad Schindler is larger dataset of shape categories, created by merging ETHZ shape classes with Konrad S...
segmentation, clutter, object detection by shapeThis work attempts to provide two Hand Images Databases for hand biometrics: one is created using a mobile phone camera of modest quality, which we ca...
segmentation, person, identification, authentication, mobile, shape, biometric/ hand geometry, webcamThe 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, semantic