1.MNIST手寫數字數據集
下載網址：http://yann.lecun.com/exdb/mnist/index.html
具體下載和處理方式請參照我的第一篇博客http://blog.csdn.net/fuwenyan/article/details/53415029
2.CIFAR-10，CIFAR-100
下載網址：http://www.cs.toronto.edu/~kriz/cifar.html
以下爲轉載他人內容（出處未知）
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
CVDatasets 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-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-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
由模式識別國家重點實驗室提供的鏈接，數據量比較大，通常需要籤屬協議，以光盤形式拿到數據。可以下載的有虹膜庫數據、掌紋數據庫、步態數據庫、中文語言資源庫、筆跡數據庫、三維人臉數據庫、行爲分析數據庫
11，http://www.datatang.com
這裏也提供一些數據庫下載，種類比較多，但是需要付費，不是打廣告哦，呵呵，建議大家可以從它那裏的數據庫介紹中找些線索來進行google，然後你就有可能下載到原始且免費的了哦
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 從文章作者那裏要來的鏈接
16，http://architecture.mit.edu/house_n/data/
與15的一樣，是關於智能家居、老人看護類的日常生活行爲
1. Weizmann 人體行爲庫
此數據庫一共包括90段視頻，這些視頻分別是由9個人執行了10個不同的動作（bend,
jack, jump, pjump, run, side, skip, walk, wave1,wave2）。視頻的背景，視角以及攝像頭都是靜止的。而且該數據庫提供標註好的前景輪廓視頻。不過此數據庫的正確率已經達到100%了，現在發文章基本沒人用了呀。下載地址：http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html
2. KTH人體行爲數據庫
該數據庫包括6類行爲（walking, jogging, running, boxing, hand waving, hand clapping）,是由25個不同的人執行的，分別在四個場景下，一共有599段視頻。背景相對靜止，除了鏡頭的拉近拉遠，攝像機的運動比較輕微。這個數據庫是現在的benchmark，正確率需要達到95.5%以上才能夠發文章。下載地址：http://www.nada.kth.se/cvap/actions/
3. INRIA XMAX多視角視頻庫
該數據庫從五個視角獲得，一共11個人執行14種行爲。室內四個方向和頭頂一共安裝5個攝像頭。另外背景和光照基本不變。下載地址：http://4drepository.inrialpes.fr/public/viewgroup/6
4. UCF Sports 數據庫
該視頻包括150段關於體育的視頻，一共有13個動作。實驗室採用留一交叉驗證法。2011年cvpr有幾篇都用這個數據庫，正確率要達到87%才能發文章。下載地址：http://vision.eecs.ucf.edu/data.html
5. Hollywood 人體行爲庫
該數據庫包括8類行爲。這些都是電影中的片段。
下載地址：http://www.di.ens.fr/~laptev/actions/hollywood2/
6. Olympic sports dataset
該數據庫有16種行爲，783段視頻。現在的正確率大約在75%左右。
下載地址：http://vision.stanford.edu/Datasets/OlympicSports/
7. UIUC action dataset
這個數據庫已經做到98%了，建議不要去做了。下載地址：http://vision.cs.uiuc.edu/projects/activity/
ComputerVision中一些常用的圖像數據庫
Database OverviewSurveys
http://emotion-research.net/wiki/Databases
AR Face Database (AR):
http://rvl1.ecn.purdue.edu/~aleix/aleix_face_DB.html
BioID Face Database(BioID):
http://www.humanscan.de/support/downloads/facedb.php
Brodatz Texture Database(Brodatz):
Butterfly Database(BDB):
http://www-cvr.ai.uiuc.edu/ponce_grp/data
CMU Frontal FaceDatabase (CMUFF):
http://vasc.ri.cmu.edu//idb/html/face/frontal_images/index.html
CMU PIE Database(CMUPIE):
http://www.ri.cmu.edu/projects/project_418.html
CMU Profile FaceDatabase (CMUPF):
http://vasc.ri.cmu.edu//idb/html/face/profile_images/index.html
Columbia-UtrechtReflectance and Texture Database(CUReT):
Corel Gallery Magic65000 (CGM):
CVL Database (CVL):http://www.lrv.fri.uni-lj.si/facedb.html
Data Becker 222222Premium Cliparts (DBPC):
M2VTS Multimodal FaceDatabase ():
http://www.tele.ucl.ac.be/PROJECTS/M2VTS/m2fdb.html
MIT CBCL Car Database(MITC):
http://cbcl.mit.edu/cbcl/software-datasets/CarData.html
MIT CBCL Face Database(MITF):
http://cbcl.mit.edu/cbcl/software-datasets/FaceData2.html
MIT CBCL FaceRecognition Database ():
http://cbcl.mit.edu/software-datasets/heisele/facerecognition-database.html
MIT CBCL PedestrianDatabase (MITP):
http://cbcl.mit.edu/cbcl/software-datasets/PedestrianData.html
Object RecognitionDatabase (ORDB):
http://www-cvr.ai.uiuc.edu/ponce_grp/data
ORL Database of Faces(ORL):http://www.uk.research.att.com/facedatabase.html
OUTex (OUTex):
PETS 2000 Dataset (PETS2000): ftp://ftp.pets.rdg.ac.uk/pub/PETS2000/
PETS 2001 Dataset(PETS2001):
http://www.cvg.cs.rdg.ac.uk/PETS2001/pets2001-dataset.html
PETS 2002 Dataset(PETS2002):
http://www.cvg.cs.rdg.ac.uk/PETS2002/pets2002-db.html
PETS 2005 Dataset(PETS2005):
http://www.cvg.cs.rdg.ac.uk/PETS-ICVS/pets-icvs-db.html
PETS-ECCV 2004 Dataset(PETSECCV2004):
PETS-ICVS 2003 Dataset(PETSICVS2003):
PETS彙總http://www.hitech-projects.com/euprojects/cantata/datasets_cantata/dataset.html
PhoTex (PhoTex):
Pilot European ImageProcessing Archive (PEIPA):
http://peipa.essex.ac.uk/
Talking Face Video ():
Texture Database (TDB):
http://www-cvr.ai.uiuc.edu/ponce_grp/data
Texture Database for theMeasurement of Textureclassification algorithms (MeasTex):
The Color FERET Database():
http://www.itl.nist.gov/iad/humanid/colorferet/home.html
The Extended M2VTSDatabase (XM2VTSDB ):
http://www.ee.surrey.ac.uk/Research/VSSP/xm2vtsdb/
The FERET Database ():
http://www.itl.nist.gov/iad/humanid/feret/
The Japanese FemaleFacial Expression (JAFFE)Database (JAFFE):
http://www.mis.atr.co.jp/~mlyons/jaffe.html
The M2VTS Database (M2VTS):http://www.tele.ucl.ac.be/PROJECTS/M2VTS/m2fdb.html
The Psychological ImageCollection at Stirling(PICS):
http://pics.psych.stir.ac.uk/cgi-bin/PICS/New/pics.cgi
The UMIST Face Database(UMIST):
http://images.ee.umist.ac.uk/danny/database.html
The University of OuluPhysics-Based FaceDatabase (UOFD):
http://www.ee.oulu.fi/research/imag/color/pbfd.html
The Yale Face Database(YFD):
http://cvc.yale.edu/projects/yalefaces/yalefaces.html
The Yale Face Database B(YFDB):
http://cvc.yale.edu/projects/yalefacesB/yalefacesB.html
Vision Texture Database(VisTex):
VS-PETS 2003 Dataset(VSPETS2003):
微軟劍橋研究院kinect姿勢識別數據庫:
http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx
深度圖像處理數據庫
http://www.mmk.ei.tum.de/layout.php?LangExt=&selectedMain=Verschiedenes&selectedSub=TUMGAIT2#downl
常用圖像數據庫
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
CVDatasets 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-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-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
由模式識別國家重點實驗室提供的鏈接，數據量比較大，通常需要籤屬協議，以光盤形式拿到數據。可以下載的有虹膜庫數據、掌紋數據庫、步態數據庫、中文語言資源庫、筆跡數據庫、三維人臉數據庫、行爲分析數據庫
11，http://www.datatang.com
這裏也提供一些數據庫下載，種類比較多，但是需要付費，不是打廣告哦，呵呵，建議大家可以從它那裏的數據庫介紹中找些線索來進行google，然後你就有可能下載到原始且免費的了哦
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 從文章作者那裏要來的鏈接
16，http://architecture.mit.edu/house_n/data/
與15的一樣，是關於智能家居、老人看護類的日常生活行爲
1. Weizmann 人體行爲庫
此數據庫一共包括90段視頻，這些視頻分別是由9個人執行了10個不同的動作（bend,
jack, jump, pjump, run, side, skip, walk, wave1,wave2）。視頻的背景，視角以及攝像頭都是靜止的。而且該數據庫提供標註好的前景輪廓視頻。不過此數據庫的正確率已經達到100%了，現在發文章基本沒人用了呀。
下載地址：http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html
2. KTH人體行爲數據庫
該數據庫包括6類行爲（walking, jogging, running, boxing, hand waving, hand clapping）,是由25個不同的人執行的，分別在四個場景下，一共有599段視頻。背景相對靜止，除了鏡頭的拉近拉遠，攝像機的運動比較輕微。這個數據庫是現在的benchmark，正確率需要達到95.5%以上才能夠發文章。
下載地址：http://www.nada.kth.se/cvap/actions/
3. INRIA XMAX多視角視頻庫
該數據庫從五個視角獲得，一共11個人執行14種行爲。室內四個方向和頭頂一共安裝5個攝像頭。另外背景和光照基本不變。下載地址：http://4drepository.inrialpes.fr/public/viewgroup/6
4. UCF Sports 數據庫
該視頻包括150段關於體育的視頻，一共有13個動作。實驗室採用留一交叉驗證法。2011年cvpr有幾篇都用這個數據庫，正確率要達到87%才能發文章。下載地址：http://vision.eecs.ucf.edu/data.html
5. Hollywood 人體行爲庫
該數據庫包括8類行爲。這些都是電影中的片段。
下載地址：http://www.di.ens.fr/~laptev/actions/hollywood2/
6. Olympic sports dataset
該數據庫有16種行爲，783段視頻。現在的正確率大約在75%左右。
下載地址：http://vision.stanford.edu/Datasets/OlympicSports/
7. UIUC action dataset
這個數據庫已經做到98%了，建議不要去做了。下載地址：http://vision.cs.uiuc.edu/projects/activity/
ComputerVision中一些常用的圖像數據庫
Database OverviewSurveys
http://emotion-research.net/wiki/Databases
AR Face Database (AR):
http://rvl1.ecn.purdue.edu/~aleix/aleix_face_DB.html
BioID Face Database(BioID):
http://www.humanscan.de/support/downloads/facedb.php
Brodatz Texture Database(Brodatz):
Butterfly Database(BDB):
http://www-cvr.ai.uiuc.edu/ponce_grp/data
CMU Frontal FaceDatabase (CMUFF):
http://vasc.ri.cmu.edu//idb/html/face/frontal_images/index.html
CMU PIE Database(CMUPIE):
http://www.ri.cmu.edu/projects/project_418.html
CMU Profile FaceDatabase (CMUPF):
http://vasc.ri.cmu.edu//idb/html/face/profile_images/index.html
Columbia-UtrechtReflectance and Texture Database(CUReT):
Corel Gallery Magic65000 (CGM):
CVL Database (CVL):http://www.lrv.fri.uni-lj.si/facedb.html
Data Becker 222222Premium Cliparts (DBPC):
M2VTS Multimodal FaceDatabase ():
http://www.tele.ucl.ac.be/PROJECTS/M2VTS/m2fdb.html
MIT CBCL Car Database(MITC):
http://cbcl.mit.edu/cbcl/software-datasets/CarData.html
MIT CBCL Face Database(MITF):
http://cbcl.mit.edu/cbcl/software-datasets/FaceData2.html
MIT CBCL FaceRecognition Database ():
http://cbcl.mit.edu/software-datasets/heisele/facerecognition-database.html
MIT CBCL PedestrianDatabase (MITP):
http://cbcl.mit.edu/cbcl/software-datasets/PedestrianData.html
Object RecognitionDatabase (ORDB):
http://www-cvr.ai.uiuc.edu/ponce_grp/data
ORL Database of Faces(ORL):http://www.uk.research.att.com/facedatabase.html
OUTex (OUTex):
PETS 2000 Dataset (PETS2000): ftp://ftp.pets.rdg.ac.uk/pub/PETS2000/
PETS 2001 Dataset(PETS2001):
http://www.cvg.cs.rdg.ac.uk/PETS2001/pets2001-dataset.html
PETS 2002 Dataset(PETS2002):
http://www.cvg.cs.rdg.ac.uk/PETS2002/pets2002-db.html
PETS 2005 Dataset(PETS2005):
http://www.cvg.cs.rdg.ac.uk/PETS-ICVS/pets-icvs-db.html
PETS-ECCV 2004 Dataset(PETSECCV2004):
PETS-ICVS 2003 Dataset(PETSICVS2003):
PETS彙總http://www.hitech-projects.com/euprojects/cantata/datasets_cantata/dataset.html
PhoTex (PhoTex):
Pilot European ImageProcessing Archive (PEIPA):
http://peipa.essex.ac.uk/
Talking Face Video ():
Texture Database (TDB):
http://www-cvr.ai.uiuc.edu/ponce_grp/data
Texture Database for theMeasurement of Textureclassification algorithms (MeasTex):
The Color FERET Database():
http://www.itl.nist.gov/iad/humanid/colorferet/home.html
The Extended M2VTSDatabase (XM2VTSDB ):
http://www.ee.surrey.ac.uk/Research/VSSP/xm2vtsdb/
The FERET Database ():
http://www.itl.nist.gov/iad/humanid/feret/
The Japanese FemaleFacial Expression (JAFFE)Database (JAFFE):
http://www.mis.atr.co.jp/~mlyons/jaffe.html
The M2VTS Database (M2VTS):http://www.tele.ucl.ac.be/PROJECTS/M2VTS/m2fdb.html
The Psychological ImageCollection at Stirling(PICS):
http://pics.psych.stir.ac.uk/cgi-bin/PICS/New/pics.cgi
The UMIST Face Database(UMIST):
http://images.ee.umist.ac.uk/danny/database.html
The University of OuluPhysics-Based FaceDatabase (UOFD):
http://www.ee.oulu.fi/research/imag/color/pbfd.html
The Yale Face Database(YFD):
http://cvc.yale.edu/projects/yalefaces/yalefaces.html
The Yale Face Database B(YFDB):
http://cvc.yale.edu/projects/yalefacesB/yalefacesB.html
Vision Texture Database(VisTex):
VS-PETS 2003 Dataset(VSPETS2003):
微軟劍橋研究院kinect姿勢識別數據庫:
http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx
深度圖像處理數據庫
http://www.mmk.ei.tum.de/layout.php?LangExt=&selectedMain=Verschiedenes&selectedSub=TUMGAIT2#downl
---------------------
作者：非文藝小燕兒_Vivien
來源：CSDN
原文：https://blog.csdn.net/fuwenyan/article/details/53899363?utm_source=copy
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