The MSRC v2 dataset is an extension of the MSRC v1 dataset from Microsoft Research in Cambridge. It contains 591 images and 23 object classes with accurate pixel-wise labeled images. Though it contains 23 object classes, only 21 classes are commonly used. The unused labels are (void==0, horse==5, mountain==8) due to background or too few training samples. The dataset is commonly used for full scene segmentation, and may also be used for object instance segmentation, as the current annotation also contains individual object instances next to pure class annotation. The training is done on 276X images, validation on 59 and testing on 275 images. The classes should be equally spread among the 45%, 10% and 45% splits. There exists an example split from Jamie Shotton, and the code for TextonBoost has routines for generating new splits. Evaluation is done using an average pixel-wise, class-average and PASCAL class-wise accuracy, ignoring the three classes as mentioned before to only evaluate 21 classes. http://research.microsoft.com/en-us/projects/objectclassrecognition/ http://research.microsoft.com/en-us/um/people/antcrim/data_objrec/msrc_objcategimagedatabase_v2.zip http://jamie.shotton.org/work/data/TextonBoostSplits.zip
The MSRC vNIPS dataset is the MSRC v2 dataset with new annotations for much more accurate segmentations for 93 images. Efficient Inference in Fully Co...
semantic segmentation, semantic, outdoorThe goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by...
urban, semantic segmentation, software, semantic, outdoor, object detectionThe MSRC v1 dataset from Microsoft Research in Cambridge contains 240 images and 9 object classes with coarse pixel-wise labeled images. The dataset is...
semantic segmentation, semantic, outdoorThe Ecole Centrale Paris 2010 (Paris 2010) dataset consists of 30 images of densely annotated building facades in seven classes - wall, window, sky, sho...
urban, semantic segmentation, semantic, paris, procedural reconstructionThis 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 ECP New York dataset contains 10 manually segmented buildings from New York City, USA. Segmentation evaluating using Dice coefficient is calculated ...
urban, newyork, semantic segmentation, semantic, procedural reconstructionThe Cambridge-driving Labeled Video Database (CamVid) dataset from Gabriel Brostow [?] contains ten minutes of video footage and corresponding semantica...
urban, 3d reconstruction, semantic segmentation, semantic, sfm, depthThis is a dataset of rectified facade images and semantic labels. The goal of the annotation is to study the layout of the facades. It contains 50 im...
urban, semantic segmentation, semantic, procedural reconstruction, grazThe ICG Graz240 dataset consists of 240 buildings with 5400 redundant images with a total of 5542 window instances. Window detection itself is difficult...
urban, semantic segmentation, semantic, object detection, grazThe 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, semanticZurich Hoengg (Switzerland) is an aerial dataset. The dataset consists of 4 aerial images in colour (Figures 2-5), scanned with 14 microns, the forma...
semantic segmentation, aerial, outdoorThe ECP Paris 2011 dataset consists of 104 images taken from rue Monge in the fifth district of Paris, we kept only 20 for training and 10 for testing. ...
urban, semantic segmentation, semantic, paris, procedural reconstructionThe 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, outdoorScene 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, recognitionThe LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedu...
segmentation, urban, semantic, recognition, facade, rectifiedThe Daimler Mono Pedestrian Detection Benchmark dataset contains a large training and test set. The training set contains 15.560 pedestrian samples (ima...
object, mono, urban, pedestrian, outdoor, scale, detectionAbstract 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, semanticImage memorability dataset contains target and filler images, precomputed features and annotations, and memorability. It gives features and annotation...
memorability, image quality, semantic, aestheticsParis-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, laserWe 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, denseThe multi-modal/multi-view datasets are created in a cooperation between University of Surrey and Double Negative within the EU FP7 IMPART project. Th...
rgbd, color, dynamic, multi-view, action, outdoor, video, 3d, face, emotion, lidar, human, indoor, multi-mode, modelThe 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 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 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, cityThe York Urban Line Segment Database is a compilation of 102 images (45 indoor, 57 outdoor) of urban environments consisting mostly of scenes from the c...
vanishing point, urban, reconstruction, outdoor, pose estimation, manhattan, geometryThe NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microso...
semantic segmentation, kinect, label, reconstruction, depthIn 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, 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...
urban, stereo, cities, person, video, weakly, segmentation, pedestrian, detection, car, semanticThe 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 ...
similarity, scene, summary, user, indoor, outdoor, video, 3d, clustering, studyThe CMP Facade dataset consists of facade images assembled at the Center for Machine Perception, which includes 600 rectified images of facades from var...
urban, similarity, facade, recognition, segmentation, structure, classification, rectification, semanticThe eTrims dataset is comprised of two datasets, the 4-Class eTRIMS Dataset with 4 annotated object classes and the 8-Class eTRIMS Dataset with 8 annota...
urban, semantic segmentation, procedural reconstructionThe Eurasian Cities dataset contains 103 images of outdoor urban scenes taken in Eurasian cities. It is annotated with horizontal and vertical vanishing...
urban, vanishing, reconstruction, manhattan, outdoor, line, pose, point, geometryThe .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, visionCMU/VMR Urban Image+Laser dataset contains 372 images linked with 3D laser points projections. There are additional images (due to the laser scanner bei...
urban, 3d reconstruction, laser, semantic segmentation, sfmThe ICG Multi-Camera and Virtual PTZ dataset contains the video streams and calibrations of several static Axis P1347 cameras and one panoramic video fr...
graz, outdoor, video, object, panorama, pedestrian, network, crowd, multiview, tracking, camera, multitarget, detection, calibrationISPRS Test Project on Urban Classification and 3D Building Reconstruction The ISPRS working group III/4 announces the release of the 2D semantic label...
urban, reconstruction, recognition, building, 3d, classification, city, semanticThe 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 Daimler Mono Pedestrian Classification Benchmark dataset consists of two parts: a base data set. The base data set contains a total of 4000 pedest...
illumination, object, urban, pedestrian, classification, outdoor, scaleThe PETS 2009 dataset contains 3 parts showing multi-view sequences containing pedestrians walking in an outdoor environment. The parts are used for per...
overlap, human, frontview, occlusion multitarget, outdoor, pedestrian, tracking, detectionThe 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, semanticEstimate robust and reliable depth or motion fields on our challenging real world videos!
optical flow, stereo depth, outdoorISPRS 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 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, natureAiguille du Midi. France showing photographs with Camera: Mamiya ZD. 55mm. - Resolution: 5Mpixels, 53 images - Photographer: B. Vallet (Imagine/EVD - 20...
3d reconstruction, large scale, sfm, outdoor, meshThe 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 KTH Multiview Football dataset contains 771 images of football players includes images taken from 3 views at 257 time instances 14 annotated body jo...
recognition, soccer, outdoor, object, pedestrian, game, pose, multiview, tracking, camera, multitarget, detectionThe 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 NYU-Depth data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft ...
semantic segmentation, kinect, label, reconstruction, depthThe Make3D Depth dataset s designed to learn features to estimate scene depth from a single image. This dataset contains aligned image and range data:...
single view, learning, indoor, outdoor, depth estimationAesthetic Visual Analysis (AVA) dataset studies the organization of content by aesthetic preference. It contains over 250,000 images along with a rich v...
memorability, image quality, semantic, aestheticsThe 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, semanticThis repository contains labeled 3-D point cloud laser data collected from a moving platform in a urban environment. Data are provided for research purp...
urban, 3d reconstruction, laser, semantic segmentation, sfmThe 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 Street View Text (SVT) dataset contains 647 words and 3796 letters in 249 images harvested from Google Street View. The dataset is more challengin...
urban, text recognition, text detection, classification, outdoorCOCO-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, semantic