圖像處理公共數據庫下載地址集錦

原創

Just_kidding_

2020-02-22 12:43

做圖像處理+模式識別的童鞋怎麼可以沒有數據庫呢？但是，如果自己做一個數據庫，費時費力費錢先不說，關鍵是建立的數據庫的公信力一般不會高，做出的算法也別人也不好比較，所以呢，下載比較權威的公共數據庫還是來得方便、直接、有效。

原先我也收藏了一些公共數據庫的下載鏈接，但是由於近期電腦損壞給搞沒了，那個後悔那........ 現在專門收集的這些鏈接一定要保存好，希望在與大家共同分享的同時，也能收藏些其它新的鏈接，呵呵。

閒話少說，現在開始：

1， http://www.multitel.be/cantata/

這個網址提供了大量的視頻和圖像的數據庫下載索引，並有相應的介紹，強烈推薦！大家慢慢去找尋自己的驚喜吧

2，http://www.cvpapers.com/datasets.html

CV Datasets on the web ，主要好像是直立行人檢測....

3， http://www.cvc.uab.es/adas/site/?q=node/7

裏面又有好幾種數據庫可以下載：CVC Virtual Pedestrian Dataset、CVC-01 Pedestrian Dataset、CVC-02 Pedestrian Dataset

4， http://www.cis.upenn.edu/~jshi/ped_html/

Database description：This is an image database containing images that are used for pedestrian detection in the experiments reported in[1]. The images are taken from scenes around campus and urban street. The objects we are interested in these images are pedestrians. Each image will have at least one pedestrian in it.

The heights of labeled pedestrians in this database fall into [180,390] pixels. All labeled pedestrians are straight up.

There are 170 images with 345 labeled pedestrians, among which 96 images are taken from around University of Pennsylvania, and other 74 are taken from around Fudan University.

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

Caltech Pedestrian Detection Benchmark：The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About 250,000 frames (in 137 approximately minute long segments) with a total of 350,000 bounding boxes and 2300 unique pedestrians were annotated. The annotation includes temporal correspondence between bounding boxes and detailed occlusion labels. More information can be found in our PAMI 2011 and CVPR 2009 benchmarking papers.

6， http://www.edgar-seemann.de/pd/datasets.py

Pedestrian Detection

7， http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html#Database Weizmann 人體行爲庫

http://www.nada.kth.se/cvap/actions/ KTH人體行爲數據庫

http://4drepository.inrialpes.fr/public/viewgroup/6 INRIA XMAX多視角視頻庫

http://vision.eecs.ucf.edu/data.html UCF Sports 數據庫

http://www.di.ens.fr/~laptev/actions/hollywood2 / Hollywood 人體行爲庫

http://vision.stanford.edu/Datasets/OlympicSports/ Olympic sports dataset

這幾個數據庫均是基於動作/行爲識別的(在第1條網址中也可以找到它們的下載地址)，文章《視頻中行爲識別公開數據庫彙總

》對它們的評價比較中肯，可以參看：http://blog.sina.com.cn/s/blog_631a4cc40101138j.html

8， http://homepages.inf.ed.ac.uk/rbf/BEHAVE/

Computer-assisted prescreening of video streams for unusual activities

9， http://www.cc.gatech.edu/cpl/projects/monsoon/PropagationNet/PropagationNet.htm

Propagation Networks for Recognizing Partially Ordered Sequential Activity. Goals：

	Represent and fuse human knowledge of daily activities with noisy perceptual features
	Detect and recognize an activity
	Pinpoint components of the activity and detect missing or improperly performed steps