The Annotated Facial Landmarks in the Wild (AFLW) consists of a large-scale collection of annotated face images gathered from the web, exhibiting a large variety in appearance (e.g., pose, expression, ethnicity, age, gender) as well as general imaging and environmental conditions. In total about 25k faces are annotated with up to 21 landmarks per image. Robust Face Detection by Simple Means Martin Koestinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof In Computer Vision in Applications Workshop (DAGM), 2012 Annotated Facial Landmarks in the Wild: A Large-scale, Real-world Database for Facial Landmark Localization Martin Koestinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof In First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies, 2011
WIDER 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, occlusionSince 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 Landmark 1000 or 1k dataset is a collection of the top 1000 popular flickr landmarks mined from flickr. It is maintained by Noah Snavely and publi...
estimation, location, reconstruction, pointcloud, world, 3d, pose, landmarkThis 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, cnnThe 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 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, detectionYahoo 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, detectionTh 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, rotationA 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, benchmarkingWe 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, sequenceInstance recognition from depth data. Contains various challenges of Pose, Clutter, Occlusion and similar looking objects (Bonde, U., Badrinarayanan, V....
detection, instance, depth, poseA 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, humanWelcome 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, trackingPhos is a color image database of 15 scenes captured under different illumination conditions. More particularly, every scene of the database contains 1...
detectionThe Aachen dataset consists of 4479 images taken with multiple cameras (3GB), 369 query images taken with the camera of a mobile phone together with the...
image retrieval, 3d reconstruction, aachen, sfm, landmarkScene 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 mirror symmetry database contains 176 single-symmetry and 63 multyple-symmetry images (.png files) with accompanying ground-truth annotations (.mat ...
symmetry, detection, groundtruth, mirrorThe 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 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 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 Colosseum and San Marco are two image datasets for dense multiview stereo reconstructions used for evaluating the visual photo realism. The datase...
urban, aerial, streetside, 3d reconstruction, photo-realism, flickr, landmark, sfmThe Paris500k dataset consists of 501,356 geotagged images collected from Flickr and Panoramio. The dataset was collected from a geographic bounding box...
panoramio, paris, image retrieval, 3d reconstruction, geotag, flickr, landmark, sfmThe 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 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, detectionScene 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, initializationFERG-DB is a database of stylized characters with annotated facial expressions. The database contains multiple face images of six stylized characters. T...
facial expressions, joy, cardinal classification, deep learning, stylization, animation, fear, human transfer, face, disgust, neutral, anger, annotation emotion, surprise, sad, image retrieval, facial expressionThe 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 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, detectionThe 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, boundingboxAt 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, backgroundA dataset acquired with 3 synchronized sensors (Primesense Carmine 1.09, Microsoft Kinect v2, Canon IXUS 950 IS), featuring: * 30 industry-relevant ob...
object, rgbd, 3d, estimation, pose, texture-lessThe 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, carThe 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 Dubrovnik6K and Rome16K datasets are image collections for SfM reconstruction, where the suffix refers to the number of images in the dataset. Dub...
urban, 3d reconstruction, dubrovnik, sfm, landmark, romeThe 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...
detectionZuBuD+, created in February 2017 by Federico Magliani (University of Parma), introduces many query images balancing the class evaluated from the previou...
building, image retrieval, urban, landmarkToday, we introduce Open Images, a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories. W...
annotation, deep, classification, real, large-scale, image, category, automaticThe Babenko tracking dataset contains 12 video sequences for single object tracking. For each clip they provide (1) a directory with the original i...
face, video, single, occlusion, object tracking, animalThe 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 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, syntheticPOS Labeled Faces in the Wild, a collection of face which is proposed for studying face identification in unconstrained environment, its purpose is serv...
face, recognition, wild, identification, registrationThe 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, recognitionCOCO-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 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 Quad 6K dataset is a Structure-from-Motion dataset taken at Arts Quad at Cornell University campus and consists of 6514 images with ground truth pos...
urban, 3d reconstruction, groundtruth, sfm, landmark, 3d gpsThe San Francisco Landmark Dataset for Mobile Landmark Recognition is a set of images and query images for localization. We present the San Francisco ...
urban, mobile, sanfrancisco, gps, retrieval, localization, landmark, city, calibrationContains drawing pages from US patents with manually labeled figure and part labels.
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, semanticLabelMe 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, opticalThe SAMANTHA (Structure-and-Motion Pipeline on a Hierarchical Cluster Tree) dataset contains 4 sequences for 3D reconstruction: Pozzoveggiani, Piazza Da...
3d reconstruction, geometry, sfm, landmark, model fittingGlobal 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 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 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, recognitionThe 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, detection10000 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, radarAn 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 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 MIT + CMU frontal face dataset from H. Rowley contains 130 images with 507 labeled frontal faces from movie, portrait and media sources. It is mostl...
face, face detection, frontview, detection object boundingbox30000+ frames with vehicle rear annotation and classification (car and trucks) on motorway/highway sequences. Annotation semi-automatically generated us...
detectionThe 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, babyfaceDatabase 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, groundtruthThe 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, classificationWe 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, viewChairGest 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 Paris dataset consists of 6412 images. Images have high resolution and are in JPEG format. http://www.robots.ox.ac.uk/~vgg/data/parisbuildings/pa...
image retrieval, urban, landmark, parisThe FAce Semantic SEGmentation (FASSEG) repository contains datasets for multi-class semantic face segmentation. The FASSEG repository is composed by ...
face, segmentationThe PIROPO database (People in Indoor ROoms with Perspective and Omnidirectional cameras) comprises multiple sequences recorded in two different indoor ...
perspective, human, indoor, room, surveillance, detection, fisheye, omnidirectional, peopleThis dataset provides a collection of web images and 3D models for research on landmark recognition (especially for methods based on 3D models). We hope...
codebook, reconstruction, matching, recognition, retrieval, 3d, classification, feature, flickr, landmarkWe 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 Notre Dame de Paris dataset used for 3D SfM reconstruction and contains 715 images provided by Noah Snavely. There are also version for NotreDame...
paris, pointcloud, frontview, limited, 3d reconstruction, 3d, flickr, landmark, sfmThe 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, geometryPenn-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, behaviorThe 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, trackingThe 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, calibrationThe 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, featureThe 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, detectionWe 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, detectionLASIESTA 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, numberThe Stable Structure from Motion datasets due to size limitations cannot put the images online. Instead here are the tracked image points and the final ...
church, stability, 3d reconstruction, 3d, robust, geometry, landmark, sfmThe Oxford Buildings dataset by James Philbin and Andrew Zisserman consists of 5062 images collected from Flickr by searching for particular Oxford land...
image retrieval, urban, oxford, landmarkThis 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, actionThe 1DSfM Landmarks is a collection of community-based image reconstruction by Kyle Wilson and is comprised of 14 datasets with comparison to bundler gr...
urban, 3d, benchmark, city, reconstruction, landmark, groundtruth15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744 additional full images not containing pedestrians for bootstrapping. The test set...
detectionCalifornia-ND contains 701 photos taken directly from a real user's personal photo collection, including many challenging non-identical near-duplicate c...
detectionThe 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 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, detectionThe 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 BEOID dataset includes object interactions ranging from preparing a coffee to operating a weight lifting machine and opening a door. The dataset is ...
video, object, egocentric, 3d, interaction, pose, trackingThe 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 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, semanticPN Learning - How does TLD work? Tracking estimates the object location as long as the object is visible. During tracking all observed patterns of the...
face, pedestrian, singletarget, learning, bike, object trackingThe 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, behaviorThe 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 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, detection