本文汇总了各类计算机视觉领域的数据集资源，包括目标检测、分类、分割等任务，涵盖了PASCAL VOC、Caltech系列、人脸、行人等多种类型的数据集。
CV Datasets on the web
Participate in Reproducible Research
Detection
Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
LabelMe 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 use the database, we only ask that you contribute to it, from time to time, by using the labeling tool.
1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manually.
Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds
Pictures of objects belonging to 101 categories
Pictures of objects belonging to 256 categories
Daimler Pedestrian Detection Benchmark
15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744 additional full images not containing pedestrians for bootstrapping. The test set contains more than 21,790 images with 56,492 pedestrian labels (fully visible or partially occluded), captured from a vehicle in urban traffic.
CVC Pedestrian Datasets
CBCL Pedestrian Database
CBCL Face Database
CBCL Car Database
CBCL Street Database
A large set of marked up images of standing or walking people
A set of car and non-car images taken in a parking lot nearby INRIA
A set of horse and non-horse images
3D skeletons and segmented regions for 1000 people in images
Classification
Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds
Pictures of objects belonging to 101 categories
Pictures of objects belonging to 256 categories
A dataset for testing object class detection algorithms. It contains 255 test images and features five diverse shape-based classes (apple logos, bottles, giraffes, mugs, and swans).
Flower classification data sets
17 Flower Category Dataset
A dataset for Attribute Based Classification. It consists of 30475 images of 50 animals classes with six pre-extracted feature representations for each image.
Recognition
Face and Gesture Recognition Working Group FGnet
Face and Gesture Recognition Working Group FGnet
Face and Gesture Recognition Working Group FGnet
9971 images of 100 people
A database of face photographs designed for studying the problem of unconstrained face recognition
Traffic Lights Recognition, Lara's public benchmarks.
PubFig: Public Figures Face Database
The PubFig database is a large, real-world face dataset consisting of 58,797 images of 200 people collected from the internet. Unlike most other existing face datasets, these images are taken in completely uncontrolled situations with non-cooperative subjects.
The data set contains 3,425 videos of 1,595 different people. The shortest clip duration is 48 frames, the longest clip is 6,070 frames, and the average length of a video clip is 181.3 frames
Tracking
BIWI Walking Pedestrians dataset
Walking pedestrians in busy scenarios from a bird eye view
"Central" Pedestrian Crossing Sequences
Three pedestrian crossing sequences
Pedestrian Mobile Scene Analysis
The set was recorded in Zurich, using a pair of cameras mounted on a mobile platform. It contains 12'298 annotated pedestrians in roughly 2'000 frames.
BMP image sequences.
Datasets for Tracking People in Aerial Image Sequences
Each dataset comprises of an aerial image sequence and a xml file with manually labeled trajectories of all visible persons.
MIT traffic data set is for research on activity analysis and crowded scenes. It includes a traffic video sequence of 90 minutes long. It is recorded by a stationary camera.
Segmentation
Image Segmentation with A Bounding Box Prior dataset
Ground truth database of 50 images with: Data, Segmentation, Labelling - Lasso, Labelling - Rectangle
Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
Motion Segmentation and OBJCUT data
Cows for object segmentation, Five video sequences for motion segmentation
Geometric Context Dataset: pixel labels for seven geometric classes for 300 images
This dataset contains videos of crowds and other high density moving objects. The videos are collected mainly from the BBC Motion Gallery and Getty Images website. The videos are shared only for the research purposes. Please consult the terms and conditions of use of these videos from the respective websites.
Contains hand-labelled pixel annotations for 38 groups of images, each group containing a common foreground. Approximately 17 images per group, 643 images total.
Segmentation evaluation database
200 gray level images along with ground truth segmentations
The Berkeley Segmentation Dataset and Benchmark
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.
328 side-view color images of horses that were manually segmented. The images were randomly collected from the WWW.
Saliency-based video segmentation with sequentially updated priors
10 videos as inputs, and segmented image sequences as ground-truth
Foreground/Background
For evaluating background modelling algorithms
Foreground/Background Microsoft Cambridge Dataset
Foreground/Background segmentation and Stereo dataset from Microsoft Cambridge
Saliency Detection (source)
120 Images / 20 Observers (Neil D. B. Bruce and John K. Tsotsos 2005).
27 Images / 40 Observers (O. Le Meur, P. Le Callet, D. Barba and D. Thoreau 2006).
100 Images / 31 Observers (Kootstra, G., Nederveen, A. and de Boer, B. 2008).
101 Images / 29 Observers (van der Linde, I., Rajashekar, U., Bovik, A.C., Cormack, L.K. 2009).
912 Images / 14 Observers (Krista A. Ehinger, Barbara Hidalgo-Sotelo, Antonio Torralba and Aude Oliva 2009).
758 Images / 75 Observers (R. Subramanian, H. Katti, N. Sebe1, M. Kankanhalli and T-S. Chua 2010).
235 Images / 19 Observers (Jian Li, Martin D. Levine, Xiangjing An and Hangen He 2011).
Video Surveillance
For the CAVIAR project a number of video clips were recorded acting out the different scenarios of interest. These include people walking alone, meeting with others, window shopping, entering and exitting shops, fighting and passing out and last, but not least, leaving a package in a public place.
ViSOR contains a large set of multimedia data and the corresponding annotations.
Multiview
Multiview stereo data sets: a set of images
Multi-view Visual Geometry group's data set
Dinosaur, Model House, Corridor, Aerial views, Valbonne Church, Raglan Castle, Kapel sequence
Oxford reconstruction data set (building reconstruction)
Oxford colleges
Multi-View Stereo dataset (Vision Middlebury)
Temple, Dino
Multi-View Stereo for Community Photo Collections
Venus de Milo, Duomo in Pisa, Notre Dame de Paris
Dataset provided by Center for Machine Perception
CVLab dense multi-view stereo image database
Objects viewed from 144 calibrated viewpoints under 3 different lighting conditions
Object Recognition in Probabilistic 3D Scenes
Images from 19 sites collected from a helicopter flying around Providence, RI. USA. The imagery contains approximately a full circle around each site.
Action
This dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and ESPN. The video sequences were obtained from a wide range of stock footage websites including BBC Motion gallery, and GettyImages.
This dataset features video sequences that were obtained using a R/C-controlled blimp equipped with an HD camera mounted on a gimbal.The collection represents a diverse pool of actions featured at different heights and aerial viewpoints. Multiple instances of each action were recorded at different flying altitudes which ranged from 400-450 feet and were performed by different actors.
It contains 11 action categories collected from YouTube.
Walk, Run, Jump, Gallop sideways, Bend, One-hand wave, Two-hands wave, Jump in place, Jumping Jack, Skip.
UCF50 is an action recognition dataset with 50 action categories, consisting of realistic videos taken from YouTube.
The Action Similarity Labeling (ASLAN) Challenge.
Human pose
Image stitching
IPM Vision Group Image Stitching datasets
Images and parameters for registeration
Medical
VIP Laparoscopic / Endoscopic Dataset
Collection of endoscopic and laparoscopic (mono/stereo) videos and images
Misc
ZuBuD Image Database contains over 1005 images about Zurich city building.
Color Name Data Sets
转自:http://www.cvpapers.com/datasets.html
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