金融

• 美国劳工部统计局官方发布数据
• 上证A股日线数据，1999.12.09 至 2016.06.08，前复权，1095支股票
• 深证A股日线数据，1999.12.09 至 2016.06.08，前复权，1766支股票
• 深证创业板日线数据，1999.12.09 至 2016.06.08，前复权，510支股票
• MT4平台外汇交易历史数据
• Forex平台外汇交易历史数据
• 几组外汇交易逐笔（Ticks）数据
• 美国股票新闻数据【Kaggle数据】
• 美国医疗保险市场数据【Kaggle数据】
• 美国金融客户投诉数据【Kaggle数据】
• Lending Club 网贷违约数据【Kaggle数据】
• 信用卡欺诈数据【Kaggle 数据】
• 某个金融产品实时交易数据【Kaggle数据】
• 美国股票数据XBRL【Kaggle数据】
• 纽约股票交易所数据【Kaggle数据】

交通

• 2013年纽约出租车行驶数据
• Udacity自动驾驶数据
• 纽约 Uber 接客数据 【Kaggle数据】
• 英国车祸数据（2005-2015）【Kaagle数据】
• 芝加哥汽车超速数据【Kaggle数据】
• KITTI 自动驾驶任务数据【数据太大仅有一部分】
• Cityscapes 场景标注数据【数据太大仅有介绍】

商业

• Amazon 食品评论数据【Kaggle数据】
• Amazon 无锁手机评论数据【Kaggle数据】
• 美国视频游戏销售和评价数据【Kaggle数据】
• Kaggle 各项竞赛情况数据【Kaggle数据】
• Airbnb 开放的民宿信息和住客评论数据

推荐系统

• Netflix 电影评价数据
• MovieLens 20m 电影推荐数据集
• WikiLens
• Jester
• HetRec2011
• Book Crossing
• Large Movie Review
• Retailrocket 商品评论和推荐数据

医疗健康

• 人识别物体时大脑核磁共振影像数据
• 人理解单词时大脑核磁共振影像数据
• 心脏病心房图像及标注数据
• 细胞病理识别
• FIRE 视网膜眼底病变图像数据
• 食物营养成分数据 【Kaggle数据】
• EGG 大脑电波形状数据【Kaggle数据】
• 某人基因序列数据【Kaggle数据】
• 癌症CT影像数据【Kaggle数据】
• 软组织肉瘤CT图像数据【Kaggle数据】
• 美国国家健康与服务部-国家癌症研究所发起的癌症数据仓库介绍【仅有介绍】
• Data Science Bowl 2017 肺癌识别竞赛数据【数据太大仅有介绍】
• TCGA-LUAD 肺癌CT图像数据
• RAID 肺癌CT图像数据

图像数据

综合图像

• Visual Genome 图像数据
• Visual7w 图像数据
• COCO 图像数据
• SUFR 图像数据
• ILSVRC 2014 训练数据（ImageNet的一部分）
• PASCAL Visual Object Classes 2012 图像数据
• PASCAL Visual Object Classes 2011 图像数据
• PASCAL Visual Object Classes 2010 图像数据
• 80 Million Tiny Image 图像数据【数据太大仅有介绍】
• ImageNet【数据太大仅有介绍】
• Google Open Images【数据太大仅有介绍】

场景图像

• Street Scences 图像数据
• Places2 场景图像数据
• UCF Google Street View 图像数据
• SUN 场景图像数据
• The Celebrity in Places 图像数据

Web标签图像

• HARRISON 社交标签图像
• NUS-WIDE 标签图像
• Visual Synset 标签图像
• Animals With Attributes 标签图像

人形轮廓图像

• MPII Human Shape人体轮廓数据
• Biwi Kinect Head Pose 头部姿势数据
• 上半身人像数据
• INRIA Person 数据集

视觉文字识别图像

• Street View House Number 门牌号图像数据
• MNIST 手写数字识别图像数据
• 3D MNIST 数字识别图像数据【Kaggle数据】
• MediaTeam Document 文档影印和内容数据
• Text Recognition 文字图像数据
• NIST Handprinted Forms and Characters 手写英文字符数据
• NIST Structured Forms Reference Set of Binary Images (SFRS) 图像数据
• NIST Structured Forms Reference Set of Binary Images (SFRS) II 图像数据

特定一类事物图像

• 著名的猫图像标注数据
• Caltech-UCSD Birds200 鸟类图像数据
• Stanford Car 汽车图像数据
• Cars 汽车图像数据
• MIT Cars 汽车图像数据
• Stanford Cars 汽车图像数据
• Food-101 美食图像数据
• 17_Category_Flower 图像数据
• 102_Category_Flower 图像数据
• UCI Folio Leaf 图像数据
• Labeled Fishes in the Wild 鱼类图像
• 美国 Yelp 点评网站酒店照片
• CMU-Oxford Sculpture 塑像雕像图像
• Oxford-IIIT Pet 宠物图像数据
• Nature Conservancy Fisheries Monitoring 过度捕捞监控图像数据【Kaggle数据】

材质纹理图像

• CURET 纹理材质图像数据
• ETHZ Synthesizability 纹理图像数据
• KTH-TIPS 纹理材质图像数据
• Describable Textures 纹理图像数据

物体分类图像

• COIL-20 图像数据
• COIL-100 图像数据
• Caltech-101 图像数据
• Caltech-256 图像数据
• CIFAR-10 图像数据
• CIFAR-100 图像数据
• STL-10 图像数据
• LabelMe_12_50k图像数据
• NORB v1.0 图像数据
• NEC Toy Animal 图像数据
• iCubWorld 图像分类数据
• Multi-class 图像分类数据
• GRAZ 图像分类数据

人脸图像

• IMDB-WIKI 500k+ 人脸图像、年龄性别数据
• Labeled Faces in the Wild 人脸数据
• Extended Yale Face Database B 人脸数据
• Bao Face 人脸数据
• DC-IGN 论文人脸数据
• 300 Face in Wild 图像数据
• BioID Face 人脸数据
• CMU Frontal Face Images
• FDDB_Face Detection Data Set and Benchmark
• NIST Mugshot Identification Database
• Faces in the Wild 人脸数据
• CelebA 名人人脸图像数据
• VGG Face 人脸图像数据
• Caltech 10k Web Faces 人脸图像数据

姿势动作图像

• HMDB_a large human motion database
• Human Actions and Scenes Dataset
• Buffy Stickmen V3 人体轮廓识别图像数据
• Human Pose Evaluator 人体轮廓识别图像数据
• Buffy pose 人类姿势图像数据
• VGG Human Pose Estimation 姿势图像标注数据

指纹识别

• NIST FIGS 指纹识别数据
• NIST Supplemental Fingerprint Card Data (SFCD) 指纹识别数据
• NIST Plain and Rolled Images from Paired Fingerprint Cards in 500 pixels per inch 指纹识别数据
• NIST Plain and Rolled Images from Paired Fingerprint Cards 1000 pixels per inch 指纹识别数据

其它图像数据

• Visual Question Answering V1.0 图像数据
• Visual Question Answering V2.0 图像数据

视频数据

综合视频

• DAVIS_Densely Annotated Video Segmentation 数据
• YouTube-8M 视频数据集【数据太大仅有介绍】
• YouTube 网站视频备份【数据太大仅有介绍】

人类动作视频

• Microsoft Research Action 人类动作视频数据
• UCF50 Action Recognition 动作识别数据
• UCF101 Action Recognition 动作识别数据
• UT-Interaction 人类动作视频数据
• UCF iPhone 运动中传感器数据
• UCF YouTube 人类动作视频数据
• UCF Sport 人类动作视频数据
• UCF-ARG 人类动作视频数据
• HMDB 人类动作视频
• HOLLYWOOD2 人类行为动作视频数据
• Recognition of human actions 动作视频数据
• Motion Capture 动作捕捉视频数据
• SBU Kinect Interaction 肢体动作视频数据

目标检测视频

• UCSD Pedestrian 行人视频数据
• Caltech Pedestrian 行人视频数据
• ETH 行人视频数据
• INRIA 行人视频数据
• TudBrussels 行人视频数据
• Daimler 行人视频数据
• ALOV++ 物体追踪视频数据

密集人群视频

• Crowd Counting 高密度人群图像
• Crowd Segmentation 高密度人群视频数据
• Tracking in High Density Crowds 高密度人群视频

其它视频

• Fire Detection 视频数据

音频数据

综合音频

• Google Audioset 音频数据【数据太大仅有介绍】

语音识别

• Sinhala TTS 英语语音识别
• TIMIT 美式英语语音识别数据
• LibriSpeech ASR corpus 语音数据
• Room Impulse Response and Noise 语音数据
• ALFFA 非洲语音数据
• THUYG-20 维吾尔语语音数据
• AMI Corpus 语音识别

自然语言处理

• RCV1英语新闻数据
• 20news 英语新闻数据
• First Quora Release Question Pairs 问答数据
• JRC Names各国语言专有实体名称
• Multi-Domain Sentiment V2.0
• LETOR 信息检索数据
• Yale Youtube Vedio Text
• 斯坦福问答数据【Kaggle数据】
• 美国假新闻数据【Kaggle数据】
• NIPS会议文章信息数据（1987-2016）【Kaggle数据】
• 2016年美国总统选举辩论数据【Kaggle数据】
• WikiLinks 跨文档指代语料
• European Parliament Proceedings Parallel Corpus 机器翻译数据
• WikiText 英语语义词库数据
• WMT 2011 News Crawl 机器翻译数据
• Stanford Sentiment Treebank 词汇数据

社会数据

• 希拉里邮件门泄露邮件
• 波士顿 Airbnb 公开数据【Kaggle数据】
• 世界各国经济发展数据【Kaagle数据】
• 世界大学排名芝加哥犯罪数据（2001-2017）【Kaagle数据】
• 世界范围显著地震数据（1965-2016）【Kaagle数据】
• 美国婴儿姓名数据【Kaagle数据】
• 全世界鲨鱼袭击人类数据【Kaagle数据】
• 1908年以来空难数据【Kaagle数据】
• 2016年美国总统大选数据【Kaagle数据】
• 2013年美国社区统计数据【Kaagle数据】
• 2014年美国社区统计数据【Kaagle数据】
• 2015年美国社区统计数据【Kaagle数据】
• 欧洲足球运动员赛事表现数据【Kaagle数据】
• 美国环境污染数据【Kaagle数据】
• 美国H1-B签证申请数据【Kaggle数据】
• IMDB五千部电影数据【Kaggle数据】
• 2015年航班延误和取消数据【Kaggle数据】
• 凶杀案报告数据【Kaggle数据】
• 人力资源分析数据【Kaggle数据】
• 美国费城犯罪数据【Kaggle数据】
• 安然公司邮件数据【Kaggle数据】
• 历史棒球数据【Kaggle数据】
• 美联航 Twitter 用户评论数据【Kaggle数据】
• 波士顿 Airbnb 公开数据【Kaggle数据】

处理后的科研和竞赛数据

• NIPS 2003 属性选择竞赛数据
• 台湾大学林智仁教授处理为 LibSVM 格式的分类建模数据
• Large-scale 分类建模数据
• 几个UCI 中 large-scale 分类建模数据
• Social Computing Data Repository 社交网络数据

1.搜狗实验室数据集：

http://www.sogou.com/labs/dl/p.html

互联网图片库来自sogou图片搜索所索引的部分数据。其中收集了包括人物、动物、建筑、机械、风景、运动等类别，总数高达2,836,535张图片。对于每张图片，数据集中给出了图片的原图、缩略图、所在网页以及所在网页中的相关文本。200多G

2

http://www.imageclef.org/

IMAGECLEF致力于位图片相关领域提供一个基准（检索、分类、标注等等） Cross Language Evaluation Forum (CLEF) 。从2003年开始每年举行一次比赛.

http://staff.science.uva.nl/~xirong/index.php?n=Main.Dataset

3

Xiaorong Li 维护的数据集。PhD ,Intelligent Systems Lab Amsterdam.research on video and image retrieval.

• Flickr-3.5M: A collection of 3.5 million social-tagged images.
• Social20: A ground-truth set for tag-based social image retrieval.
• Biconcepts2012test: A ground-truth set for retrieving bi-concepts (concept pairs) in unlabeled images.
• neg4free: A set of negative examples automatically harvested from social-tagged images for 20 PASCAL VOC concepts.

http://www.svcl.ucsd.edu/projects/crossmodal/

5

http://lms.comp.nus.edu.sg/research/NUS-WIDE.htm

To our knowledge, this is the largest real-world web image dataset comprising over 269,000 images with over 5,000 user-provided tags, and ground-truth of 81 concepts for the entire dataset. The dataset is much larger than the popularly available Corel and Caltech 101 datasets. Though some datasets comprise over 3 million images, they only have ground-truth for a small fraction of images. Our proposed NUS-WIDE dataset has the ground-truth for the entire dataset.

6.

http://www.cs.washington.edu/research/imagedatabase/

7.

http://lear.inrialpes.fr/~jegou/data.php

Jegou的数据集，不过Jegou是专门做CBIR的，图像有ground truth，没有标注。

8.

http://www.robots.ox.ac.uk/~vgg/data/oxbuildings/

vgg的osford building dataset。也是专门CBIR的数据。

9.

http://acmmm13.org/submissions/call-for-multimedia-grand-challenge-solutions/msr-bing-grand-challenge-on-image-retrieval-scientific-track/

The dataset for the Microsoft Image Grand Challenge on Image Retrieval

另外介绍cvpaper上的整理的数据集

http://www.cvpapers.com/index.html

Participate in Reproducible Research

Detection

PASCAL VOC 2009 dataset

Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets

LabelMe dataset

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.

BioID Face Detection Database

1521 images with human faces, recorded under natural conditions, i.e. varying illumination and complex background. The eye positions have been set manually.

CMU/VASC & PIE Face dataset

Yale Face dataset

Caltech

Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds

Caltech 101

Pictures of objects belonging to 101 categories

Caltech 256

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.

MIT Pedestrian dataset

CVC Pedestrian Datasets

CVC Pedestrian Datasets

CBCL Pedestrian Database

MIT Face dataset

CBCL Face Database

MIT Car dataset

CBCL Car Database

MIT Street dataset

CBCL Street Database

INRIA Person Data Set

A large set of marked up images of standing or walking people

INRIA car dataset

A set of car and non-car images taken in a parking lot nearby INRIA

INRIA horse dataset

A set of horse and non-horse images

H3D Dataset

3D skeletons and segmented regions for 1000 people in images

HRI RoadTraffic dataset

A large-scale vehicle detection dataset

BelgaLogos

10000 images of natural scenes, with 37 different logos, and 2695 logos instances, annotated with a bounding box.

FlickrBelgaLogos

10000 images of natural scenes grabbed on Flickr, with 2695 logos instances cut and pasted from the BelgaLogos dataset.

FlickrLogos-32

The dataset FlickrLogos-32 contains photos depicting logos and is meant for the evaluation of multi-class logo detection/recognition as well as logo retrieval methods on real-world images. It consists of 8240 images downloaded from Flickr.

TME Motorway Dataset

30000+ frames with vehicle rear annotation and classification (car and trucks) on motorway/highway sequences. Annotation semi-automatically generated using laser-scanner data. Distance estimation and consistent target ID over time available.

PHOS (Color Image Database for illumination invariant feature selection)

Phos is a color image database of 15 scenes captured under different illumination conditions. More particularly, every scene of the database contains 15 different images: 9 images captured under various strengths of uniform illumination, and 6 images under different degrees of non-uniform illumination. The images contain objects of different shape, color and texture and can be used for illumination invariant feature detection and selection.

CaliforniaND: An Annotated Dataset For Near-Duplicate Detection In Personal Photo Collections

California-ND contains 701 photos taken directly from a real user's personal photo collection, including many challenging non-identical near-duplicate cases, without the use of artificial image transformations. The dataset is annotated by 10 different subjects, including the photographer, regarding near duplicates.

Classification

PASCAL VOC 2009 dataset

Classification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets

Caltech

Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds

Caltech 101

Pictures of objects belonging to 101 categories

Caltech 256

Pictures of objects belonging to 256 categories

ETHZ Shape Classes

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

Animals with attributes

A dataset for Attribute Based Classification. It consists of 30475 images of 50 animals classes with six pre-extracted feature representations for each image.

Stanford Dogs Dataset

Dataset of 20,580 images of 120 dog breeds with bounding-box annotation, for fine-grained image categorization.

Recognition

Face and Gesture Recognition Working Group FGnet

Face and Gesture Recognition Working Group FGnet

Feret

Face and Gesture Recognition Working Group FGnet

PUT face

9971 images of 100 people

Labeled Faces in the Wild

A database of face photographs designed for studying the problem of unconstrained face recognition

Urban scene 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.

YouTube Faces

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.

MSRC-12: Kinect gesture data set

The Microsoft Research Cambridge-12 Kinect gesture data set consists of sequences of human movements, represented as body-part locations, and the associated gesture to be recognized by the system.

QMUL underGround Re-IDentification (GRID) Dataset

This dataset contains 250 pedestrian image pairs + 775 additional images captured in a busy underground station for the research on person re-identification.

Person identification in TV series

Face tracks, features and shot boundaries from our latest CVPR 2013 paper. It is obtained from 6 episodes of Buffy the Vampire Slayer and 6 episodes of Big Bang Theory.

ChokePoint Dataset

ChokePoint is a video dataset designed for experiments in person identification/verification under real-world surveillance conditions. The dataset consists of 25 subjects (19 male and 6 female) in portal 1 and 29 subjects (23 male and 6 female) in portal 2.

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.

Head tracking

BMP image sequences.

KIT AIS Dataset

Data sets for tracking vehicles and people in aerial image sequences.

MIT Traffic Data Set

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

PASCAL VOC 2009 dataset

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

Geometric Context Dataset: pixel labels for seven geometric classes for 300 images

Crowd Segmentation Dataset

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.

CMU-Cornell iCoseg Dataset

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.

Weizmann horses

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

Wallflower Dataset

For evaluating background modelling algorithms

Foreground/Background Microsoft Cambridge Dataset

Foreground/Background segmentation and Stereo dataset from Microsoft Cambridge

Stuttgart Artificial Background Subtraction Dataset

The SABS (Stuttgart Artificial Background Subtraction) dataset is an artificial dataset for pixel-wise evaluation of background models.

Saliency Detection (source)

AIM

120 Images / 20 Observers (Neil D. B. Bruce and John K. Tsotsos 2005).

LeMeur

27 Images / 40 Observers (O. Le Meur, P. Le Callet, D. Barba and D. Thoreau 2006).

Kootstra

100 Images / 31 Observers (Kootstra, G., Nederveen, A. and de Boer, B. 2008).

DOVES

101 Images / 29 Observers (van der Linde, I., Rajashekar, U., Bovik, A.C., Cormack, L.K. 2009).

Ehinger

912 Images / 14 Observers (Krista A. Ehinger, Barbara Hidalgo-Sotelo, Antonio Torralba and Aude Oliva 2009).

NUSEF

758 Images / 75 Observers (R. Subramanian, H. Katti, N. Sebe1, M. Kankanhalli and T-S. Chua 2010).

JianLi

235 Images / 19 Observers (Jian Li, Martin D. Levine, Xiangjing An and Hangen He 2011).

Extended Complex Scene Saliency Dataset (ECSSD)

ECSSD contains 1000 natural images with complex foreground or background. For each image, the ground truth mask of salient object(s) is provided.

Video Surveillance

CAVIAR

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

ViSOR contains a large set of multimedia data and the corresponding annotations.

Multiview

3D Photography Dataset

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

IS-3D Data

Dataset provided by Center for Machine Perception

CVLab dataset

CVLab dense multi-view stereo image database

3D Objects on Turntable

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.

Multiple cameras fall dataset

24 scenarios recorded with 8 IP video cameras. The first 22 first scenarios contain a fall and confounding events, the last 2 ones contain only confounding events.

Action

UCF Sports Action Dataset

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.

UCF Aerial Action Dataset

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.

UCF YouTube Action Dataset

It contains 11 action categories collected from YouTube.

Weizmann action recognition

Walk, Run, Jump, Gallop sideways, Bend, One-hand wave, Two-hands wave, Jump in place, Jumping Jack, Skip.

UCF50

UCF50 is an action recognition dataset with 50 action categories, consisting of realistic videos taken from YouTube.

ASLAN

The Action Similarity Labeling (ASLAN) Challenge.

MSR Action Recognition Datasets

The dataset was captured by a Kinect device. There are 12 dynamic American Sign Language (ASL) gestures, and 10 people. Each person performs each gesture 2-3 times.

KTH Recognition of human actions

Contains six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping) performed several times by 25 subjects in four different scenarios: outdoors, outdoors with scale variation, outdoors with different clothes and indoors.

Hollywood-2 Human Actions and Scenes dataset

Hollywood-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 in total.

Collective Activity Dataset

This dataset contains 5 different collective activities : crossing, walking, waiting, talking, and queueing and 44 short video sequences some of which were recorded by consumer hand-held digital camera with varying view point.

Olympic Sports Dataset

The Olympic Sports Dataset contains YouTube videos of athletes practicing different sports.

SDHA 2010

Surveillance-type videos

VIRAT Video Dataset

The dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets.

HMDB: A Large Video Database for Human Motion Recognition

Collected from various sources, mostly from movies, and a small proportion from public databases, YouTube and Google videos. The dataset contains 6849 clips divided into 51 action categories, each containing a minimum of 101 clips.

Stanford 40 Actions Dataset

Dataset of 9,532 images of humans performing 40 different actions, annotated with bounding-boxes.

50Salads dataset

Fully annotated dataset of RGB-D video data and data from accelerometers attached to kitchen objects capturing 25 people preparing two mixed salads each (4.5h of annotated data). Annotated activities correspond to steps in the recipe and include phase (pre-/ core-/ post) and the ingredient acted upon.

Human pose/Expression

AFEW (Acted Facial Expressions In The Wild)/SFEW (Static Facial Expressions In The Wild)

Dynamic temporal facial expressions data corpus consisting of close to real world environment extracted from movies.

ETHZ CALVIN Dataset

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

Zurich Buildings Database

ZuBuD Image Database contains over 1005 images about Zurich city building.

Color Name Data Sets

Mall dataset

The mall dataset was collected from a publicly accessible webcam for crowd counting and activity profiling research.

QMUL Junction Dataset

A busy traffic dataset for research on activity analysis and behaviour understanding.

CVOnline的数据集

http://homepages.inf.ed.ac.uk/rbf/CVonline/CVentry.htm

Index by Topic

1. Action Databases
2. Biological/Medical
3. Face Databases
4. Fingerprints
5. General Images
6. Gesture Databases
7. Image, Video and Shape Database Retrieval
8. Object Databases
9. People, Pedestrian, Eye/Iris, Template Detection/Tracking Databases
10. Segmentation
11. Surveillance
12. Textures
13. General Videos
14. Other Collection Pages
15. Miscellaneous Topics

Action Databases

1. 50 Salads - fully annotated 4.5 hour dataset of RGB-D video + accelerometer data, capturing 25 people preparing two mixed salads each (Dundee University, Sebastian Stein)
2. ASLAN Action similarity labeling challenge database (Orit Kliper-Gross)
3. Berkeley MHAD: A Comprehensive Multimodal Human Action Database (Ferda Ofli)
4. BEHAVE Interacting Person Video Data with markup (Scott Blunsden, Bob Fisher, Aroosha Laghaee)
5. CVBASE06: annotated sports videos (Janez Pers)
6. G3D - synchronised video, depth and skeleton data for 20 gaming actions captured with Microsoft Kinect (Victoria Bloom)
7. Hollywood 3D - 650 3D action recognition in the wild videos, 14 action classes (Simon Hadfield)
8. Human Actions and Scenes Dataset (Marcin Marszalek, Ivan Laptev, Cordelia Schmid)
9. HumanEva: Synchronized Video and Motion Capture Dataset for Evaluation of Articulated Human Motion (Brown University)
10. i3DPost Multi-View Human Action Datasets (Hansung Kim)
11. i-LIDS video event image dataset (Imagery library for intelligent detection systems) (Paul Hosner)
12. INRIA Xmas Motion Acquisition Sequences (IXMAS) (INRIA)
13. JPL First-Person Interaction dataset - 7 types of human activity videos taken from a first-person viewpoint (Michael S. Ryoo, JPL)
14. KTH human action recognition database (KTH CVAP lab)
15. LIRIS human activities dataset - 2 cameras, annotated, depth images (Christian Wolf, et al)
16. MuHAVi - Multicamera Human Action Video Data (Hossein Ragheb)
17. Oxford TV based human interactions (Oxford Visual Geometry Group)
18. Rochester Activities of Daily Living Dataset (Ross Messing)
19. SDHA Semantic Description of Human Activities 2010 contest - aerial views (Michael S. Ryoo, J. K. Aggarwal, Amit K. Roy-Chowdhury)
20. SDHA Semantic Description of Human Activities 2010 contest - Human Interactions (Michael S. Ryoo, J. K. Aggarwal, Amit K. Roy-Chowdhury)
21. TUM Kitchen Data Set of Everyday Manipulation Activities (Moritz Tenorth, Jan Bandouch)
22. TV Human Interaction Dataset (Alonso Patron-Perez)
23. Univ of Central Florida - Feature Films Action Dataset (Univ of Central Florida)
24. Univ of Central Florida - YouTube Action Dataset (sports) (Univ of Central Florida)
25. Univ of Central Florida - 50 Action Category Recognition in Realistic Videos (3 GB) (Kishore Reddy)
26. UCF 101 action dataset 101 action classes, over 13k clips and 27 hours of video data (Univ of Central Florida)
27. Univ of Central Florida - Sports Action Dataset (Univ of Central Florida)
28. Univ of Central Florida - ARG Aerial camera, Rooftop camera and Ground camera (UCF Computer Vision Lab)
29. UCR Videoweb Multi-camera Wide-Area Activities Dataset (Amit K. Roy-Chowdhury)
30. Verona Social interaction dataset (Marco Cristani)
31. Videoweb (multicamera) Activities Dataset (B. Bhanu, G. Denina, C. Ding, A. Ivers, A. Kamal, C. Ravishankar, A. Roy-Chowdhury, B. Varda)
32. ViHASi: Virtual Human Action Silhouette Data (userID: VIHASI password: virtual$virtual) (Hossein Ragheb, Kingston University)
33. WorkoutSU-10 Kinect dataset for exercise actions (Ceyhun Akgul)
34. YouCook - 88 open-source YouTube cooking videos with annotations (Jason Corso)
35. WVU Multi-view action recognition dataset (Univ. of West Virginia)

Biological/Medical

1. Computed Tomography Emphysema Database (Lauge Sorensen)
2. Dermoscopy images (Eric Ehrsam)
3. DIADEM: Digital Reconstruction of Axonal and Dendritic Morphology Competition (Allen Institute for Brain Science et al)
4. DIARETDB1 - Standard Diabetic Retinopathy Database (Lappeenranta Univ of Technology)
5. DRIVE: Digital Retinal Images for Vessel Extraction (Univ of Utrecht)
6. MiniMammographic Database (Mammographic Image Analysis Society)
7. MIT CBCL Automated Mouse Behavior Recognition datasets (Nicholas Edelman)
8. Retinal fundus images - Ground truth of vascular bifurcations and crossovers (Univ of Groningen)
9. Spine and Cardiac data (Digital Imaging Group of London Ontario, Shuo Li)
10. Univ of Central Florida - DDSM: Digital Database for Screening Mammography (Univ of Central Florida)
11. VascuSynth - 120 3D vascular tree like structures with ground truth (Mengliu Zhao, Ghassan Hamarneh)
12. York Cardiac MRI dataset (Alexander Andreopoulos)

Face Databases

1. 3D Mask Attack Database (3DMAD) - 76500 frames of 17 persons using Kinect RGBD with eye positions (Sebastien Marcel)
2. Audio-visual database for face and speaker recognition (Mobile Biometry MOBIO http://www.mobioproject.org/)
3. BANCA face and voice database (Univ of Surrey)
4. Binghampton Univ 3D static and dynamic facial expression database (Lijun Yin, Peter Gerhardstein and teammates)
5. BioID face database (BioID group)
6. Biwi 3D Audiovisual Corpus of Affective Communication - 1000 high quality, dynamic 3D scans of faces, recorded while pronouncing a set of English sentences.
7. CMU Facial Expression Database (CMU/MIT)
8. CMU/MIT Frontal Faces (CMU/MIT)
9. CMU/MIT Frontal Faces (CMU/MIT)
10. CMU Pose, Illumination, and Expression (PIE) Database (Simon Baker)
11. CSSE Frontal intensity and range images of faces (Ajmal Mian)
12. Face Recognition Grand Challenge datasets (FRVT - Face Recognition Vendor Test)
13. FaceTracer Database - 15,000 faces (Neeraj Kumar, P. N. Belhumeur, and S. K. Nayar)
14. FDDB: Face Detection Data set and Benchmark - studying unconstrained face detection (University of Massachusetts Computer Vision Laboratory)
15. FG-Net Aging Database of faces at different ages (Face and Gesture Recognition Research Network)
16. Facial Recognition Technology (FERET) Database (USA National Institute of Standards and Technology)
17. Hong Kong Face Sketch Database
18. Japanese Female Facial Expression (JAFFE) Database (Michael J. Lyons)
19. LFW: Labeled Faces in the Wild - unconstrained face recognition. Re-labeled Faces in the Wild - original images, but aligned using "deep funneling" method. (University of Massachusetts, Amherst)
20. Manchester Annotated Talking Face Video Dataset (Timothy Cootes)
21. MIT Collation of Face Databases (Ethan Meyers)
22. MORPH (Craniofacial Longitudinal Morphological Face Database) (University of North Carolina Wilmington)
23. MIT CBCL Face Recognition Database (Center for Biological and Computational Learning)
24. NIST mugshot identification database (USA National Institute of Standards and Technology)
25. ORL face database: 40 people with 10 views (ATT Cambridge Labs)
26. Oxford: faces, flowers, multi-view, buildings, object categories, motion segmentation, affine covariant regions, misc (Oxford Visual Geometry Group)
27. PubFig: Public Figures Face Database (Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, and Shree K. Nayar)
28. SCface - Surveillance Cameras Face Database (Mislav Grgic, Kresimir Delac, Sonja Grgic, Bozidar Klimpak))
29. Trondheim Kinect RGB-D Person Re-identification Dataset (Igor Barros Barbosa)
30. UB KinFace Database - University of Buffalo kinship verification and recognition database
31. XM2VTS Face video sequences (295): The extended M2VTS Database (XM2VTS) - (Surrey University)
32. Yale Face Database - 11 expressions of 10 people (A. Georghaides)
33. Yale Face Database B - 576 viewing conditions of 10 people (A. Georghaides)

Fingerprints

1. FVC fingerpring verification competition 2002 dataset (University of Bologna)
2. FVC fingerpring verification competition 2004 dataset (University of Bologna)
3. FVC - a subset of FVC (Fingerprint Verification Competition) 2002 and 2004 fingerprint image databases, manually extracted minutiae data & associated documents (Umut Uludag)
4. NIST fingerprint databases (USA National Institute of Standards and Technology)
5. SPD2010 Fingerprint Singular Points Detection Competition(SPD 2010 committee)

General Images

1. Aerial color image dataset (Swiss Federal Institute of Technology)
2. AMOS: Archive of Many Outdoor Scenes (20+m) (Nathan Jacobs)
3. Brown Univ Large Binary Image Database (Ben Kimia)
4. Columbia Multispectral Image Database (F. Yasuma, T. Mitsunaga, D. Iso, and S.K. Nayar)
5. HIPR2 Image Catalogue of different types of images (Bob Fisher et al)
6. Hyperspectral images of natural scenes - 2002 (David H. Foster)
7. Hyperspectral images of natural scenes - 2004 (David H. Foster)
8. ImageNet Linguistically organised (WordNet) Hierarchical Image Database - 10E7 images, 15K categories (Li Fei-Fei, Jia Deng, Hao Su, Kai Li)
9. ImageNet Large Scale Visual Recognition Challenge (Alex Berg, Jia Deng, Fei-Fei Li)
10. OTCBVS Thermal Imagery Benchmark Dataset Collection (Ohio State Team)
11. McGill Calibrated Colour Image Database (Adriana Olmos and Fred Kingdom)
12. Tiny Images Dataset 79 million 32x32 color images (Fergus, Torralba, Freeman)

Gesture Databases

1. FG-Net Aging Database of faces at different ages (Face and Gesture Recognition Research Network)
2. Hand gesture and marine silhouettes (Euripides G.M. Petrakis)
3. IDIAP Hand pose/gesture datasets (Sebastien Marcel)
4. Sheffield gesture database - 2160 RGBD hand gesture sequences, 6 subjects, 10 gestures, 3 postures, 3 backgrounds, 2 illuminations (Ling Shao)

Image, Video and Shape Database Retrieval

1. Brown Univ 25/99/216 Shape Databases (Ben Kimia)
2. IAPR TC-12 Image Benchmark (Michael Grubinger)
3. IAPR-TC12 Segmented and annotated image benchmark (SAIAPR TC-12): (Hugo Jair Escalante)
4. ImageCLEF 2010 Concept Detection and Annotation Task (Stefanie Nowak)
5. ImageCLEF 2011 Concept Detection and Annotation Task - multi-label classification challenge in Flickr photos
6. CLEF-IP 2011 evaluation on patent images
7. McGill 3D Shape Benchmark (Siddiqi, Zhang, Macrini, Shokoufandeh, Bouix, Dickinson)
8. NIST SHREC 2010 - Shape Retrieval Contest of Non-rigid 3D Models (USA National Institute of Standards and Technology)
9. NIST SHREC - other NIST retrieval contest databases and links (USA National Institute of Standards and Technology)
10. NIST TREC Video Retrieval Evaluation Database (USA National Institute of Standards and Technology)
11. Princeton Shape Benchmark (Princeton Shape Retrieval and Analysis Group)
12. Queensland cross media dataset - millions of images and text documents for "cross-media" retrieval (Yi Yang)
13. TOSCA 3D shape database (Bronstein, Bronstein, Kimmel)

Object Databases

1. 2.5D/3D Datasets of various objects and scenes (Ajmal Mian)
2. Amsterdam Library of Object Images (ALOI): 100K views of 1K objects (University of Amsterdam/Intelligent Sensory Information Systems)
3. Caltech 101 (now 256) category object recognition database (Li Fei-Fei, Marco Andreeto, Marc'Aurelio Ranzato)
4. Columbia COIL-100 3D object multiple views (Columbia University)
5. Densely sampled object views: 2500 views of 2 objects, eg for view-based recognition and modeling (Gabriele Peters, Universiteit Dortmund)
6. German Traffic Sign Detection Benchmark (Ruhr-Universitat Bochum)
7. GRAZ-02 Database (Bikes, cars, people) (A. Pinz)
8. Linkoping 3D Object Pose Estimation Database (Fredrik Viksten and Per-Erik Forssen)
9. Microsoft Object Class Recognition image databases (Antonio Criminisi, Pushmeet Kohli, Tom Minka, Carsten Rother, Toby Sharp, Jamie Shotton, John Winn)
10. Microsoft salient object databases (labeled by bounding boxes) (Liu, Sun Zheng, Tang, Shum)
11. MIT CBCL Car Data (Center for Biological and Computational Learning)
12. MIT CBCL StreetScenes Challenge Framework: (Stan Bileschi)
13. NEC Toy animal object recognition or categorization database (Hossein Mobahi)
14. NORB 50 toy image database (NYU)
15. PASCAL Image Database (motorbikes, cars, cows) (PASCAL Consortium)
16. PASCAL 2007 Challange Image Database (motorbikes, cars, cows) (PASCAL Consortium)
17. PASCAL 2008 Challange Image Database (PASCAL Consortium)
18. PASCAL 2009 Challange Image Database (PASCAL Consortium)
19. PASCAL 2010 Challange Image Database (PASCAL Consortium)
20. PASCAL 2011 Challange Image Database (PASCAL Consortium)
21. PASCAL 2012 Challange Image Database Category classification, detection, and segmentation, and still-image action classification (PASCAL Consortium)
22. UIUC Car Image Database (UIUC)
23. UIUC Dataset of 3D object categories (S. Savarese and L. Fei-Fei)
24. Venezia 3D object-in-clutter recognition and segmentation (Emanuele Rodola)

People, Pedestrian, Eye/Iris, Template Detection/Tracking Databases

1. 3D KINECT Gender Walking data base (L. Igual, A. Lapedriza, R. Borràs from UB, CVC and UOC, Spain)
2. Caltech Pedestrian Dataset (P. Dollar, C. Wojek, B. Schiele and P. Perona)
3. CASIA gait database (Chinese Academy of Sciences)
4. CASIA-IrisV3 (Chinese Academy of Sciences, T. N. Tan, Z. Sun)
5. CAVIAR project video sequences with tracking and behavior ground truth (CAVIAR team/Edinburgh University - EC project IST-2001-37540)
6. Daimler Pedestrian Detection Benchmark 21790 images with 56492 pedestrians plus empty scenes (M. Enzweiler, D. M. Gavrila)
7. Driver Monitoring Video Dataset (RobeSafe + Jesus Nuevo-Chiquero)
8. Edinburgh overhead camera person tracking dataset (Bob Fisher, Bashia Majecka, Gurkirt Singh, Rowland Sillito)
9. Eyetracking database summary (Stefan Winkler)
10. HAT database of 27 human attributes (Gaurav Sharma, Frederic Jurie)
11. INRIA Person Dataset (Navneet Dalal)
12. ISMAR09 ground truth video dataset for template-based (i.e. planar) tracking algorithms(Sebastian Lieberknecht)
13. MIT CBCL Pedestrian Data (Center for Biological and Computational Learning)
14. MIT eye tracking database (1003 images) (Judd et al)
15. Notre Dame Iris Image Dataset (Patrick J. Flynn)
16. PETS 2009 Crowd Challange dataset (Reading University & James Ferryman)
17. PETS: Performance Evaluation of Tracking and Surveillance (Reading University & James Ferryman)
18. PETS Winter 2009 workshop data (Reading University & James Ferryman)
19. UBIRIS: Noisy Visible Wavelength Iris Image Databases (University of Beira)
20. Univ of Central Florida - Crowd Dataset (Saad Ali)
21. Univ of Central Florida - Crowd Flow Segmentation datasets (Saad Ali)
22. York Univ Eye Tracking Dataset (120 images) (Neil Bruce)

Segmentation

1. Alpert et al. Segmentation evaluation database (Sharon Alpert, Meirav Galun, Ronen Basri, Achi Brandt)
2. Berkeley Segmentation Dataset and Benchmark (David Martin and Charless Fowlkes)
3. GrabCut Image database (C. Rother, V. Kolmogorov, A. Blake, M. Brown)
4. LabelMe images database and online annotation tool (Bryan Russell, Antonio Torralba, Kevin Murphy, William Freeman)

Surveillance

1. AVSS07: Advanced Video and Signal based Surveillance 2007 datasets (Andrea Cavallaro)
2. ETISEO Video Surveillance Download Datasets (INRIA Orion Team and others)
3. Heriot Watt Summary of datasets for human tracking and surveillance (Zsolt Husz)
4. SPEVI: Surveillance Performance EValuation Initiative (Queen Mary University London)
5. Udine Trajectory-based anomalous event detection dataset - synthetic trajectory datasets with outliers (Univ of Udine Artificial Vision and Real Time Systems Laboratory)

Textures

1. Color texture images by category (textures.forrest.cz)
2. Columbia-Utrecht Reflectance and Texture Database (Columbia & Utrecht Universities)
3. DynTex: Dynamic texture database (Renaud Piteri, Mark Huiskes and Sandor Fazekas)
4. Oulu Texture Database (Oulu University)
5. Prague Texture Segmentation Data Generator and Benchmark (Mikes, Haindl)
6. Uppsala texture dataset of surfaces and materials - fabrics, grains, etc.
7. Vision Texture (MIT Media Lab)

General Videos

1. Large scale YouTube video dataset - 156,823 videos (2,907,447 keyframes) crawled from YouTube videos (Yi Yang)

Other Collections

1. CANTATA Video and Image Database Index site (Multitel)
2. Computer Vision Homepage list of test image databases (Carnegie Mellon Univ)
3. ETHZ various, including 3D head pose, shape classes, pedestrians, pedestrians, buildings (ETH Zurich, Computer Vision Lab)
4. Leibe's Collection of people/vehicle/object databases (Bastian Leibe)
5. Lotus Hill Image Database Collection with Ground Truth (Sealeen Ren, Benjamin Yao, Michael Yang)
6. Oxford Misc, including Buffy, Flowers, TV characters, Buildings, etc (Oxford Visual geometry Group)
7. PEIPA Image Database Summary (Pilot European Image Processing Archive)
8. Univ of Bern databases on handwriting, online documents, string edit and graph matching (Univ of Bern, Computer Vision and Artificial Intelligence)
9. USC Annotated Computer Vision Bibliography database publication summary (Keith Price)
10. USC-SIPI image databases: texture, aerial, favorites (eg. Lena) (USC Signal and Image Processing Institute)

Miscellaneous

1. 3D mesh watermarking benchmark dataset (Guillaume Lavoue)
2. Active Appearance Models datasets (Mikkel B. Stegmann)
3. Aircraft tracking (Ajmal Mian)
4. Cambridge Motion-based Segmentation and Recognition Dataset (Brostow, Shotton, Fauqueur, Cipolla)
5. Catadioptric camera calibration images (Yalin Bastanlar)
6. Chars74K dataset - 74 English and Kannada characters (Teo de Campos - t.decampos@surrey.ac.uk)
7. COLD (COsy Localization Database) - place localization (Ullah, Pronobis, Caputo, Luo, and Jensfelt)
8. Columbia Camera Response Functions: Database (DoRF) and Model (EMOR) (M.D. Grossberg and S.K. Nayar)
9. Columbia Database of Contaminants' Patterns and Scattering Parameters (Jinwei Gu, Ravi Ramamoorthi, Peter Belhumeur, Shree Nayar)
10. Dense outdoor correspondence ground truth datasets, for optical flow and local keypoint evaluation (Christoph Strecha)
11. DTU controlled motion and lighting image dataset (135K images) (Henrik Aanaes)
12. EISATS: .enpeda.. Image Sequence Analysis Test Site (Auckland University Multimedia Imaging Group)
13. FlickrLogos-32 - 8240 images of 32 product logos (Stefan Romberg)
14. Flowchart images (Allan Hanbury)
15. Geometric Context - scene interpretation images (Derek Hoiem)
16. Image/video quality assessment database summary (Stefan Winkler)
17. INRIA feature detector evaluation sequences (Krystian Mikolajczyk)
18. INRIA's PERCEPTION's database of images and videos gathered with several synchronized and calibrated cameras (INRIA Rhone-Alpes)
19. INRIA's Synchronized and calibrated binocular/binaural data sets with head movements (INRIA Rhone-Alpes)
20. KITTI dataset for stereo, optical flow and visual odometry (Geiger, Lenz, Urtasun)
21. Large scale 3D point cloud data from terrestrial LiDAR scanning (Andreas Nuechter)
22. Linkoping Rolling Shutter Rectification Dataset (Per-Erik Forssen and Erik Ringaby)
23. Middlebury College stereo vision research datasets (Daniel Scharstein and Richard Szeliski)
24. MPI-Sintel optical flow evaluation dataset (Michael Black)
25. Multiview stereo images with laser based groundtruth (ESAT-PSI/VISICS,FGAN-FOM,EPFL/IC/ISIM/CVLab)
26. The Cancer Imaging Archive (National Cancer Institute)
27. NCI Cancer Image Archive - prostate images (National Cancer Institute)
28. NIST 3D Interest Point Detection (Helin Dutagaci, Afzal Godil)
29. NRCS natural resource/agricultural image database (USDA Natural Resources Conservation Service)
30. Occlusion detection test data (Andrew Stein)
31. The Open Video Project (Gary Marchionini, Barbara M. Wildemuth, Gary Geisler, Yaxiao Song)
32. Pics 'n' Trails - Dataset of Continuously archived GPS and digital photos (Gamhewage Chaminda de Silva)
33. PRINTART: Artistic images of prints of well known paintings, including detail annotations. A benchmark for automatic annotation and retrieval tasks with this database was published at ECCV. (Nuno Miguel Pinho da Silva)
34. RAWSEEDS SLAM benchmark datasets (Rawseeds Project)
35. Robotic 3D Scan Repository - 3D point clouds from robotic experiments of scenes (Osnabruck and Jacobs Universities)
36. ROMA (ROad MArkings) : Image database for the evaluation of road markings extraction algorithms (Jean-Philippe Tarel, et al)
37. Stuttgart Range Image Database - 66 views of 45 objects
38. UCL Ground Truth Optical Flow Dataset (Oisin Mac Aodha)
39. Univ of Genoa Datasets for disparity and optic flow evaluation (Manuela Chessa)
40. Validation and Verification of Neural Network Systems (Francesco Vivarelli)
41. VSD: Technicolor Violent Scenes Dataset - a collection of ground-truth files based on the extraction of violent events in movies
42. WILD: Weather and Illumunation Database (S. Narasimhan, C. Wang. S. Nayar, D. Stolyarov, K. Garg, Y. Schechner, H. Peri)

http://www.multitel.be/cantata/

BOSS dataset

Website:

Datasets are available here.

Contact:

Catherine.LAMY-BERGOT@fr.thalesgroup.com

EMAV 2009

Website:

Datasets are available here:

http://www.emav09.org/

The objective of the EMAV 2009 (European Micro Aerial Vehicle Conference and Flight Competition) conference is to provide an effective and established forum for discussion and dissemination of original and recent advances in MAV technology. The conference program will consist of a theoretical part and a flight competition. We aim for submission of papers that address novel, challenging and innovative ideas, concepts or systems. We particularly encourage papers that go beyond MAV hardware, and address issues such as the collaboration of multiple MAVs, applications of computer vision, and non-GPS based navigation.

Contact:

info [-at-] emav2009.org

Caltech Pedestrian Dataset

Website:

Datasets are available here:

http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/

Contact:

pdollar[at]caltech.edu

NGSIM

Website:

Datasets are available here (registration is needed):

http://ngsim.fhwa.dot.gov/modules.php?op=modload&name=News&file=article&sid=4

Contact:

John.Halkias@fhwa.dot.gov

AMI Corpora

Website:

Datasets are available here (registration is needed)

http://corpus.amiproject.org/amicorpus/download/download

Contact:

machy@multitel.be

MORYNE - Traffic scenes mobile video acquisition

Website:

http://www.fp6-moryne.org/

MORYNE aims at contributing to greater transport efficiency, increased transport safety and more environmental friendly transport by improving traffic management in an urban and sub-urban area.

Contact:

christophe.parisot(at)multitel.be

BEHAVE - Crowds

Website:

Datasets are available here:

http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/CROWDS/index.html

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

CANTATA - Left Objects Dataset

Website:

http://www.multitel.be/~va/cantata/LeftObject/

Contact:

desurmont@multitel.be

VISOR - Surveillance

Website:

Datasets are available here:

http://imagelab.ing.unimore.it/visor/

Contact:

vezzani.roberto@unimore.it

Traffic datasets from Institut fur Algorithmen und Kognitive Systemes

Website:

Sequences are available here:

http://i21www.ira.uka.de/image_sequences/

tx ty tz    # Translation vector Global <---> Camera Coordinates
r11 r12 r13 #
r21 r22 r23 #  > 3x3 Rotation Matrix Global <---> Camera
r31 r32 r33 # /
fx      # Focal length x-direction (pixels)
fy      # Focal length y-direction (pixels, usually 4/3 * fx)
x0      # Image Center X (pixels)
y0      # Image Center Y (pixels)
1       # Sharp shadows visible (1=true, 0=false)
phi     # Azimut angle for shadow
theta       # Polar angle for shadow

Contact:

Sabri Boughorbel (mailto:cedric.marchessoux@barco.com)

TRAFICON - Traffic jam

Website:

No

Contact:

Wouter Favoreel, wf@traficon.com

CANDELA - Surveillance

Website:

Datasets are available here:

http://www.multitel.be/~va/candela/

Contact:

Xavier Desurmont, desurmont@multitel.be

OVVV - Virtual sequences

Website:

Datasets are available here:

http://development.objectvideo.com/

Contact:

Rick Koeleman, VDG-Security bv. rick@vdg-security.com

IBM - Tracking

Website:

http://domino.research.ibm.com/comm/research_projects.nsf/pages/s3.performanceevaluation.html

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

SPEVI: Multiple faces dataset

Website:

http://www.spevi.org

Contact:

Xavier Desurmont, desurmont@multitel.be

SPEVI: Single face dataset

Website:

http://www.spevi.org

Contact:

Xavier Desurmont, desurmont@multitel.be

SPEVI: Audiovisual people dataset

Website:

http://www.spevi.org

Contact:

Xavier Desurmont, desurmont@multitel.be

ETISEO - Surveillance

Website:

Datasets are available here: (registration is needed)

http://www-sop.inria.fr/orion/ETISEO/

Contact:

francois.bremond@sophia.inria.fr

SELCAT - Level Crossing

Website:

These datasets have been realized during the SELCAT project.

http://www.levelcrossing.net/

Datasets are available here:

http://www.multitel.be/~va/selcat

Contact:

Caroline Machy, machy@multitel.be

BEHAVE - INTERACTION

Website:

http://groups.inf.ed.ac.uk/vision/BEHAVEDATA/INTERACTIONS/

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS - 2007 - REASON

Website:

Datasets ate available here:

http://www.pets2007.net/

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS - 2006 - ISCAPS

Website:

Datasets are available here:

http://www.pets2006.net/

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS - 2005 - WAMOP

Website:

Datasets are available here: (registration is needed)

http://www.vast.uccs.edu/~tboult/PETS05/

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS - ECCV'2004 - CAVIAR

Website:

http://groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/

or http://www-prima.inrialpes.fr/PETS04/caviar_data.html

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS 2002

Website:

Datasets are available here:

http://www.cvg.cs.rdg.ac.uk/PETS2002/pets2002-db.html

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS 2001

Website:

Datasets are available here:

http://www.cvg.cs.rdg.ac.uk/PETS2001/pets2001-dataset.html

http://www.cvg.cs.rdg.ac.uk/cgi-bin/PETSMETRICS/page.cgi?dataset

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS 2000

Website:

ftp://ftp.pets.rdg.ac.uk/pub/PETS2000/

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

PETS

Website:

Website: http://www.cvg.rdg.ac.uk/slides/pets.html

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

I-LIDS - Surveillance

Website:

http://scienceandresearch.homeoffice.gov.uk/hosdb/cctv-imaging-technology/video-based-detection-systems/i-lids/

Contact:

Dimitrios Makris, d.makris@kingston.ac.uk

MEDICAL

CONSUMER APPLICATIONS

OTHERS

RESSOURCES AND LINKS