神经网络算法学习---获取常用训练数据集

本文介绍了深度学习中常用的两个数据集:MNIST手写数字数据集和CIFAR-10/CIFAR-100。提供了下载链接,并提及了MNIST数据集的具体处理方式,参考作者的另一篇博客。CIFAR数据集的详细信息则来自网络转载。

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1.MNIST手写数字数据集

下载网址:http://yann.lecun.com/exdb/mnist/index.html

具体下载和处理方式请参照我的第一篇博客http://blog.youkuaiyun.com/fuwenyan/article/details/53415029


2.CIFAR-10,CIFAR-100

下载网址:http://www.cs.toronto.edu/~kriz/cifar.html


以下为转载他人内容(出处未知)

1, http://www.multitel.be/cantata/
这个网址提供了大量的视频和图像的数据库下载索引,并有相应的介绍,强烈推荐!大家慢慢去找寻自己的惊喜吧
2, http://www.cvpapers.com/datasets.html
CVDatasets on the web , 主要好像是直立行人检测....
3, http://www.cvc.uab.es/adas/site/?q=node/7
里面又有好几种数据库可以下载:CVC Virtual Pedestrian Dataset、CVC-01Pedestrian Dataset、CVC-02 PedestrianDataset
4, http://www.cis.upenn.edu/~jshi/ped_html/
Databasedescription:This is an image database containing images that are usedfor pedestrian detection in the experiments reported in [1]. The images are taken from scenes around campus
and urban street. Theobjects we are interested in these images are pedestrians. Each image will haveat least one pedestrian in it.
Theheights of labeled pedestrians in this database fall into [180,390] pixels. Alllabeled pedestrians are straight up.
Thereare 170 images with 345 labeled pedestrians, among which 96 images are takenfrom around University of Pennsylvania, and other 74 are taken from aroundFudan University.
5, http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/
Caltech Pedestrian Detection Benchmark:The Caltech Pedestrian Dataset consists of approximately10 hours of 640x480 30Hz video taken from a vehicle
driving through regulartraffic in an urban environment. About 250,000 frames (in 137 approximatelyminute long segments) with a total of 350,000 bounding boxes and 2300 uniquepedestrians were annotated. The annotation includes temporal correspondencebetween
bounding boxes and detailed occlusion labels. More information can befound in our
PAMI2011 and
CVPR2009 benchmarking papers.
6, http://www.edgar-seemann.de/pd/datasets.py
PedestrianDetection
7, http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html#Database
Weizmann 人体行为库
http://www.nada.kth.se/cvap/actions/
KTH人体行为数据库
http://4drepository.inrialpes.fr/public/viewgroup/6 INRIA XMAX多视角视频库
http://vision.eecs.ucf.edu/data. html
UCF Sports 数据库
http://www.di.ens.fr/~laptev/actions/hollywood2 /
Hollywood 人体行为库
http://vision.stanford.edu/Datasets/OlympicSports/
Olympic sports dataset
这几个数据库均是基于动作/行为识别的(在第1条网址中也可以找到它们的下载地址),文章《视频中行为识别公开数据库汇总
》对它们的评价比较中肯,可以参看: http://blog.sina.com.cn/s/blog_631a4cc40101138j.html
8, http://homepages.inf.ed.ac.uk/rbf/BEHAVE/
Computer-assistedprescreening of video streams for unusual activities
9, http://www.cc.gatech.edu/cpl/projects/monsoon/PropagationNet/PropagationNet.htm
Propagation Networks for Recognizing Partially OrderedSequential 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
10, http://root.simpleinfo.net/1984DA173065/AreaDatum.aspx
由模式识别国家重点实验室提供的链接,数据量比较大,通常需要签属协议,以光盘形式拿到数据。可以下载的有 虹膜库数据掌纹数据库步态数据库中文语言资源库笔迹数据库三维人脸数据库行为分析数据库
11, http://www.datatang.com
这里也提供一些数据库下载,种类比较多,但是需要付费,不是打广告哦,呵呵,建议大家可以从它那里的数据库介绍中找些线索来进行google,然后你就有可能下载到原始且免费的了哦
12,http://www.csse.uwa.edu.au/~pk/Research/MatlabFns/
MATLAB and Octave Functions for Computer Vision and Image Processing
13,http://mocap.cs.cmu.edu/
CMU Graphics Lab Motion Capture Database
14,http://www.cs.cmu.edu/~cil/v-images.html
Computer Vision Test Images
15,http://getalp.imag.fr/xwiki/bin/view/HISData/
http://www.springerlink.com/content/u57j444p0537p40t/
Health Smart Home (HIS) datasets 从文章作者那里要来的链接
16,http://architecture.mit.edu/house_n/data/
与15的一样,是关于智能家居、老人看护
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