计算机视觉著名数据集CV Datasets

转自：http://blog.csdn.net/kezunhai/article/details/50068255
            http://www.cvpapers.com/datasets.html

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.

Penn Sports Action

The dataset contains 2326 video sequences of 15 different sport actions and human body joint

annotations for all sequences.

CVRR-HANDS 3D

A Kinect dataset for hand detection in naturalistic driving settings as well as a challenging 19

dynamic hand gesture recognition dataset for human machine interfaces.

TUM Kitchen Data Set

Observations of several subjects setting a table in different ways. Contains videos, motion 

capture data, RFID tag readings,...

TUM Breakfast Actions Dataset

This dataset comprises of 10 actions related to breakfast preparation, performed by 52

different individuals in 18 different kitchens.

MPII Cooking Activities Dataset

Cooking Activities dataset.

GTEA Gaze+ Dataset

This dataset consists of seven meal-preparation activities, each performed by 10 subjects.

Subjects perform the activities based on the given cooking recipes.

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

CALVIN research group datasets

HandNet (annotated depth images of articulating hands)

This dataset includes 214971 annotated depth images of hands captured by a RealSense RGBD

sensor of hand poses. Annotations: per pixel classes, 6D