The PIROPO database (People in Indoor ROoms with Perspective and Omnidirectional cameras) comprises multiple sequences recorded in two different indoor rooms, using both omnidirectional and perspective cameras. The sequences contain people in a variety of situations, including people walking, standing, and sitting. Both annotated and non-annotated sequences are provided, where ground truth is point-based (each person in the scene is represented by the point located in the center of its head). In total, more than 100,000 annotated frames are available. Database links: https://www.gti.ssr.upm.es/research/gti-data/databases https://sites.google.com/site/piropodatabase/ Database created by Grupo de Tratamiento de Imgenes, Universidad Politcnica de Madrid (Image Processing Group, Technical University of Madrid - www.gti.ssr.upm.es)Multiple sequences recorded in two different indoor rooms, using both omnidirectional and perspective cameras, containing people in a variety of situations (people walking, standing, and sitting). Both annotated and non-annotated sequences are provided, where ground truth is point-based.
The High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedes...
high-definition, benchmark, human, lisbon, indoor, video, re-identification, pedestrian, network, multiview, tracking, surveillance, camera, detectionWe collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions...
face, real, human, recognition, world, pedestrian, identification, clustering, multiview, surveillance, detection, sequenceThe FaceScrub dataset comprises a total of 107818 unconstrained face images of 530 celebrities crawled from the Internet, with about 200 images per pers...
face, celebrity, detection, people, recognition, humanThe 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 (cro...
graz, indoor, video, object, pedestrian, multiview, tracking, camera, multitarget, detection, calibrationThe Aspect Layout dataset is designed to allow evaluation of object detection for aspect ratios in perspective images. Author text: In this project ...
object, detection, aspect, perspective, ratio, layoutThe 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, syntheticWe share our omnidirectional and panoramic image dataset (with annotations) to be used for human and car detection. Please reach through: http://cvrg.i...
panorama, detection, car, omnidirection, recognition, humanThe 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 ...
coffee, graz, background, indoor, illumination, change, pedestrian, robust, multitarget, detectionThe TVPR dataset includes 23 registration sessions. Each of the 23 folders contains the video of one registration session. Acquisitions have been perfor...
person, depth, recognition, indoor, top-view, video, clothing, gender, reidentification, identification, peopleThe crowd datasets are collected from a variety of sources, such as UCF and data-driven crowd datasets. The sequences are diverse, representing dense cr...
video, pedestrian, scene, crowd, human, understanding, anomaly, detectionThe 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 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 Mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research. Ground truth: Over 60,000 pedestrians wer...
video, pedestrian, crowd, counting, tracking, detection, indoor, webcamThe Where Who Why (WWW) dataset provides 10,000 videos with over 8 million frames from 8,257 diverse scenes, therefore offering a superior comprehensive...
recognition, video, flow, pedestrian, crowd, surveillance, optical, detectionThe 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, semanticScanNet 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 Stanford 40 Actions dataset contains images of humans performing 40 actions. In each image, we provide a bounding box of the person who is performin...
recognition, human, detection, action, boundingboxThe 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 MOT Challenge is a framework for the fair evaluation of multiple people tracking algorithms. In this framework we provide: - A large collection of...
multiple, benchmark, evaluation, benhttp://motchallenge.net/chmark, dataset, target, video, pedestrian, 3d, tracking, surveillance, peopleBackground 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, detectionChairGest is an open challenge / benchmark. The task consists in spotting and recognizing gestures from multiple synchronized sensors: 1 Kinect and 4 X...
gesture, detection, benchmark, kinect, recognition, humanThe dataset captures 25 people preparing 2 mixed salads each and contains over 4h of annotated accelerometer and RGB-D video data. Annotated activities ...
video, activity, classification, tracking, recognition, detection, actionThe domain-specific personal videos highlight dataset from the paper [1] describes a fully automatic method to train domain-specific highlight ranker f...
saliency, domain, wearable, human, recognition, action, video, summarizationScene Background Initialization (SBI) dataset The SBI dataset has been assembled in order to evaluate and compare the results of background initializa...
change, detection, benchmark, background, foreground, initializationThe Traffic Video dataset consists of X video of an overhead camera showing a street crossing with multiple traffic scenarios. The dataset can be down...
video, urban, traffic, road, overhead, tracking, view, detectionThe 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, backgroundSince the publicly available face image datasets are often of small to medium size, rarely exceeding tens of thousands of images, and often without age ...
face, age, wikipedia, imdb, recognition, detection, biometryThe 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, studyThis dataset contains 12,995 face images which are annotated with (1) five facial landmarks, (2) attributes of gender, smiling, wearing glasses, and hea...
face, landmark detection, deep learning, detection, attribute, cnnAt 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, backgroundThe TRaffic ANd COngestionS (TRANCOS) dataset, a novel benchmark for (extremely overlapping) vehicle counting in traffic congestion situations. It consi...
urban, highway, spain, object, traffic, transportation, vehicle, detection, carIt 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, w...
wearable, kinect, fall detection - adl, depth, human, recognition, action, accelerometer, videoThe Annotated Facial Landmarks in the Wild (AFLW) consists of a large-scale collection of annotated face images gathered from the web, exhibiting a larg...
face, annotation, detection, age, landmark, poseThe German Traffic Sign Recognition Benchmark is a dataset for multi-class detection problem in natural images and do cordially invite you to participat...
urban, traffic, recognition, detection, traffic signThe CALTECH 256 dataset by Li Fei-Fei contains 30607 images for 256 categories.
object, detection, image, centered, classification, sceneThe Wide (multiple) Baseline Dataset. 31 image pairs, simultaneously combining several nuisance factors: geometry, illumination, IR-visible, etc. WxBS...
description, night, viewpoint, matching, feature, detection, day, irContains 6 object categories similar to object categories in Pascal VOC that are suitable for studying the abnormalities stemming from objects.
detectionThe Ford Car dataset is joint effort of Pandey et al. (for collecting images, Lidar points, calibration etc.) and us (for annotation of 2D and 3D object...
lidar, detection, groundtruth, 3d, car, sfm1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manua...
detectionWIDER FACE dataset is a large-scale face detection benchmark dataset with 32,203 images and 393,703 face annotations, which have high degree of variabil...
face, scale, detection, pose, occlusionThe 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, detectionThe TU Berlin Multi-Object and Multi-Camera Tracking Dataset (MOCAT) is a synthetic dataset to train and test tracking and detection systems in a virtua...
evaluation, multi-view, pedestrian, animal, tracking, multi-class, vehicle, detection, syntheticJPL First-Person Interaction dataset (JPL-Interaction dataset) is composed of human activity videos taken from a first-person viewpoint. The dataset par...
video, motion, action, interactive, recognition, humanThe Our Database of Faces (ORL) dataset contains ten different images of each of 40 distinct subjects. For some subjects, the images were taken at diffe...
illumination, face, recognition, human, expressionThe Swedish Traffic Sign Recognition provides Matlab code for parsing the annotation files and displaying the results. Part0 for each set contains the a...
urban, traffic, detection, city, sign, recognitionThe Microsoft Research Cambridge-12 Kinect gesture dataset consists of sequences of human movements, represented as body-part locations, and the associa...
gesture, recognition, human, action, kinectDataset 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 th...
motion, foot, human, recognition, gait, action, classification, biometry, pressureThe Shefeld Kinect Gesture (SKIG) dataset contains 2160 hand gesture sequences (1080 RGB sequences and 1080 depth sequences) collected from 6 subjects. ...
illumination, gesture, kinect, depth, recognition, human, actionWelcome 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 ...
face, reconstruction, depth, mesh, human, action, video, pose, multiview, trackingContains drawing pages from US patents with manually labeled figure and part labels.
detectionThe 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, segmentationLabelMe is a web-based image annotation tool that allows researchers to label images and share the annotations with the rest of the community. If you us...
detectionThe 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, opticalYahoo Flickr Creative Commons 100M (YFCC100M) dataset contains a list of photos and videos. This list is compiled from data available on Yahoo! Flickr. ...
internet, reconstruction, recognition, image, community, social, 3d, clustering, detection, flickr, landmarkThe 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, detectionA 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, benchmarkingGlobal Symmetry Ground-truth for AVA dataset Release Date: 2016 For detailed information, please refer to: Elawady, Mohamed, Ccile Barat, Christoph...
bilateral, aesthetic, global, symmetry, reflection, detection, mirror10000 images of natural scenes, with 37 different logos, and 2695 logos instances, annotated with a bounding box.
detectionThe CERTH image blur dataset consists of 2450 digital images, 1850 out of which are photographs captured by various camera models in different shooting ...
motion, quality, detection, image, defocus, blurThe 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 MSR Action datasets is a collection of various 3D datasets for action recognition. See details http://research.microsoft.com/en-us/um/people/zliu...
video, detection, 3d, action, reconstruction, recognition10000 images of natural scenes grabbed on Flickr, with 2695 logos instances cut and pasted from the BelgaLogos dataset.
detectionMany 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 hand...
video, object, benchmark, classification, recognition, detection, action15 wide baseline stereo image pairs with large viewpoint change, provided ground truth homographies. Image size (~1000x700 pixels, RGB) D. Mishkin a...
description, wide baseline stereo, detection, viewpoint, matching, featureThe CVC Partial Occlusion Virtual Pedestrian datasets (CVC-01 to CVC-06) cover a range of scenarios of occluded pedestrians generated in a virtual and r...
urban, pedestrian, classification, synthetic, occlusion, tracking, detectionClassification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
detection, classificationThe PETS 2016 IPATCH dataset contains a set of fourteen multi camera recordings (visible, themal) collected off the coast of Brest, France, in collabora...
visible, thermal, multimodal, vessel, maritime, boat, gps, tracking, detection, radarDataset contains 1000 images of 100 persons, with 10 images per person and is freely available. All images were acquired by cropping ears from images fr...
person, pedestrian, ear, recognition, human, lighting, biometryAn Annotated Dataset For Near-Duplicate Detection In Personal Photo Collections Managing photo collections involves a variety of image quality assessm...
copyright, duplicate, detection, groundtruth, retrievalThe Rent3D dataset comprises floorplans and images. The goal of this work is to enable a 3D virtual-tour of an apartment given a small set of monocular ...
building, urban, reconstruction, floorplan, layout, apartment, indoorThe Caltech Lanes dataset includes four clips taken around streets in Pasadena, CA at different times of day. The archive below includes 1225 individu...
caltech, urban, road, pasadena, detection, laneThe PETS 2006 dataset contains 7 parts showing multi-sensor sequences containing left-luggage scenarios with increasing scene complexity at a train stat...
pedestrian, indoor, frontview, object tracking, object detection, multitargetThe Video Summarization (SumMe) dataset consists of 25 videos, each annotated with at least 15 human summaries (390 in total). The data consists of vide...
video, benchmark, summary, event, human, groundtruth, action30000+ frames with vehicle rear annotation and classification (car and trucks) on motorway/highway sequences. Annotation semi-automatically generated us...
detectionDatabase contains 798 images of 114 persons, with 7 images per person and is freely available for research purposes. All images were taken in supervised...
face, person, human, lighting, recognition, illumination, pedestrian, biometryThe FlickrLogos-32 dataset contains photos showing brand logos and is meant for the evaluation of multi-class logo recognition as well as logo retrieval...
classification brand boundingbox, retrieval, object recognition, machine learning, logo, detection, image, flickrSome datasets and evaluation tools are provided on this page for four different computer vision and computer graphics problems. Population counting L...
urban, surface, reconstruction, pointcloud, object, road, pedestrian, network, line, 3d, crowd, counting, detection, groundtruthWe introduce the Shelf dataset for multiple human pose estimation from multiple views. In addition we annotate the body joints in the Campus dataset fro...
motion, multiple, 3d, estimation, capture, pose, human, viewThe Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from Imag...
fine-grained categorization, dogs, detection, classificationThe Robotic 3D Scan Repository from Osnabrueck contains 23 different datasets showing a veriaty of 3D scans for objects, humans, cities, university camp...
lidar, scan, urban, reconstruction, human, laser, heat, aerial, germany, 3d, bremen, city, osnabrueckAn indoor action recognition dataset which consists of 18 classes performed by 20 individuals. Each action is individually performed for 8 times (4 dayt...
video, open-view, cross-view, recognition, indoor, action, multi-cameraThis dataset package contains the software and data used for Detection-based Object Labeling on the RGB-D Scenes Dataset as implemented in the paper: ...
object, 3d, kinect, reconstruction, depth, recognition, indoorA large dataset of geotagged face images collected from Flickr. The zip file contains text files containing urls of the images. Face2GPS: Estimating G...
gender, face, geotagged, classification, age, localization, humanWe 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 INRIA People dataset from Navneet Dalal and Bill Triggs [DalalCVPR2005] consists of training and testing data. The training contains 1805 images and...
pedestrian, sideview, boundingbox, frontview, object detection, humanThe 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, backgroundPenn-Fudan Pedestrian Detection and Segmentation
segmentation, motion, background, pedestrian, detectionThe Kendall Square webcam dataset consists of two streams for one sunny day and one cloudy day of a city square. It is used for tracking and analyzing c...
color, change, appearance, weather, detection, webcam, skyt is composed of food intake movements, recorded with Kinect V1 (320240 depth frame resolution), simulated by 35 volunteers for a total of 48 tests. The...
kinect, age, intake, pointcloud, human, tracking, monitoring, groundtruth, food, behaviorMICCAI 2015 Challenge on Liver Ultrasound Tracking Munich, October 9, 2015 (Full Day) Outline Ultrasound (US) imaging is a widely used medical imagi...
ultrasound, liver, benchmark, real, therapy, human, medical, tracking, organThe 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 a...
wearable, kinect, time, human, recognition, action, depth image processing - tug, accelerometer, videoThe city planar and non-planar datset consists of urban scenes accompanied by text files describing the plane/non-plane locations. Training Set (Univ...
building, urban, detection, 3d, estimation, planeThe 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, calibrationSceneNet 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, navigation15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744 additional full images not containing pedestrians for bootstrapping. The test set...
detectionThe 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 ...
video, object, detectionInstance recognition from depth data. Contains various challenges of Pose, Clutter, Occlusion and similar looking objects (Bonde, U., Badrinarayanan, V....
detection, instance, depth, poseThe Salient Montages is a human-centric video summarization dataset from the paper [1]. In [1], we present a novel method to generate salient montages...
video, saliency, wearable, montage, summarization, humanLASIESTA is composed by many real indoor and outdoor sequences organized in different categories, each of one covering a specific challenge in moving ob...
motion, subtraction, dataset, background, object, stationary, foreground, camera, challenge, detection, groundtruthSVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and ...
urban, real, recognition, text, streetside, world, streetview, classification, detection, numberShakeFive2 A collection of 8 dyadic human interactions with accompanying skeleton metadata. The metadata is frame based xml data containing the skelet...
video, human, kinect, interactionThis dataset contains 7 challenging volleyball activity classes annotated in 6 videos from professionals in the Austrian Volley League (season 2011/12)....
video, sport, analysis, activity recognition, volleyball, detection, actionTh EPFL Multi-View Car dataset contains 20 sequences of cars as they rotate by 360 degrees. There is one image approximately every 3-4 degrees. Using th...
detection, estimation, car, pose, multiview, rotationThis web page presents visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV). The datasets contain stereo images, synchronized IMU me...
slam, global shutter, indoor, aerial vehiclesCalifornia-ND contains 701 photos taken directly from a real user's personal photo collection, including many challenging non-identical near-duplicate c...
detectionThe Extreme Zoom Dataset. EZD is a 6 image sets with incleasing zoom factor from general scene view to focusing on single detail. MODS: Fast and Robus...
description, detection, zoom, viewpoint, matching, featureMIT Pedestrian dataset from Papageorgiou and Poggio [IJCV2000] contains 509 training and 200 test images of pedestrians in city scenes (plus left-right ...
urban, pedestrian, boundingbox, frontview, people, object detectionThe CMP map2photo dataset consists of 6 pairs, where one image is satellite photo and second image is a map of the same area. The task is to match thes...
sensing, baseline, matching, description, map, feature, remote, detection, wideCollected in a clothing store. Captured with Kinect (640*480, about 30fps)
tracking, detectionFor the first few decades of the fields existence, computer vision has been focused on algorithmic, logical approaches to perception. But it was only wi...
object, 3d, kinect, reconstruction, depth, recognition, indoorThe 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 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 c...
driving, street, urban, time, recognition, autonomous, video, segmentation, robot, classification, detection, car, yearThe SPHERE human skeleton movements dataset was created using a Kinect camera, that measures distances and provides a depth map of the scene instead of ...
motion, skeleton, kinect, movement, depth, human, action, video, behaviorThe QMUL Junction dataset is a busy traffic scenario for research on activity analysis and behavior understanding. Video length: 1 hour (90000 frame...
video, motion, pedestrian, crowd, counting, tracking, detection, behaviorAWS 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, resolutionThe 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, calibrationGroup emotion recognition in images - Happiness Intensity labels for group of people in images. The images have been collected from Flickr using keyword...
emotion, wild, flickr, behavior, group, human, facial expressionThe 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, detectionPhos is a color image database of 15 scenes captured under different illumination conditions. More particularly, every scene of the database contains 1...
detectionThe mirror symmetry database contains 176 single-symmetry and 63 multyple-symmetry images (.png files) with accompanying ground-truth annotations (.mat ...
symmetry, detection, groundtruth, mirrorThe 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, detectionThe 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 detectionThis UIUC Cars dataset by Shivani Agarwal, Aatif Awan and Dan Roth contains images of side views of cars for use in evaluating object detection algorith...
urban, sideview, detection, car, recognition, scaleThe 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, semantic