Common Image Database1,http://www.multitel.be/cantata/
This URL provides a large number of videos and images of the database download index, and has the corresponding introduction, highly recommended! Let's go and find your own surprises.
2,http://www.cvpapers.com/datasets.html
Cvdatasets on the web, mostly like an upright pedestrian detection ....
3,http://www.cvc.uab.es/adas/site/?q=node/7
There are several kinds of databases available for download: CVC Virtual pedestrian DataSet, Cvc-01pedestrian DataSet, CVC-02 Pedestriandataset 4,http:// www.cis.upenn.edu/~jshi/ped_html/
Databasedescription:this is a image database containing images that's usedfor pedestrian detection in the experiments R Eported In[1]. The images is taken from scenes around campus and Urban street. Theobjects We is interested in these images is pedestrians. Each image would haveat least one pedestrian in it. Theheights of labeled pedestrians in this database fall into [180,390] pixels. Alllabeled pedestrians is straight up. There is images with 345 labeled pedestrians, among which. Images is takenfrom around University of Pennsylvania, and other Aroundfudan is taken from the 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 VI Deo 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 Uniquepede Strians were annotated. The annotation includes temporal correspondence between 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
Pedestrian Detection 7,http://www.wisdom.weizmann.ac.il/~vision/spacetimeactions.html#database
Weizmann Human Behavior Library
Http://www.nada.kth.se/cvap/actions/KTH Human Behavior Database
HTTP://4DREPOSITORY.INRIALPES.FR/PUBLIC/VIEWGROUP/6 Inria xmax Multi-View Video Library
http://vision.eecs.ucf.edu/data.html UCF Sports Database
Http://www.di.ens.fr/~laptev/actions/hollywood2/Hollywood Human Behavior Library
Http://vision.stanford.edu/Datasets/OlympicSports/Olympic Sports DataSet
These databases are based on action/behavior recognition (can also be found in the 1th URL), the article "Video Behavior Recognition Public database Summary" to their evaluation more pertinent, you can see: 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/1984da1 73065/areadatum.aspx
The link provided by the State Key laboratory of pattern recognition, the volume of data is relatively large, usually need to sign the agreement, in the form of CD-ROM to get the data. Can be downloaded Iris library data, palmprint database, gait database, Chinese language resource library, handwriting database, three-dimensional face database, behavioral analysis database 11,http://www.datatang.com
Here also provides some database download, the kind is more, but needs to pay, not to advertise Oh, hehe, suggest you can find some clues from its database introduction to carry on Google, then you may download to original and free of the OH 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 from the author of the article to come to the link 16,http://architecture.mit.edu/house_n/data/
The same as 15, is about the smart home, the elderly care of the daily behavior of 1. Weizmann Human Behavior Library
This database includes a total of 90 videos, each of which was performed by 9 individuals with 10 different actions (Bend, Jack, Jump, Pjump, run, side, skip, walk, Wave1,wave2). The video's background, perspective, and camera are still. And the database provides a well-labeled foreground contour video. However, the correct rate of this database has reached 100%, and now the article basically no one used it. : http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html 2. KTH Human Behavior Database
The database consists of 6 classes of behaviors (walking, jogging, running, boxing, hand waving, hand clapping), performed by 25 different people, in four scenarios, with 599 segments in each video. The background is relatively static, except that the lens pulls away, the motion of the camera is relatively slight. This database is now benchmark, the correct rate needs to reach more than 95.5% to be able to send the article. : HTTP://WWW.NADA.KTH.SE/CVAP/ACTIONS/3. Inria Xmax Multi-View Video Library
The database was obtained from five perspectives, with a total of 11 people performing 14 acts. A total of 5 cameras are installed in four directions indoors and overhead. In addition, the background and illumination are basically the same. : HTTP://4DREPOSITORY.INRIALPES.FR/PUBLIC/VIEWGROUP/6 4. UCF Sports Database
The video includes 150 videos on sports, a total of 13 actions. The laboratory uses a cross-validation method. 2011 CVPR have used this database, the correct rate to reach 87% to send the article. : http://vision.eecs.ucf.edu/data.html 5. Hollywood Human Behavior Library
The database includes 8 types of behavior. These are all fragments of the movie. : HTTP://WWW.DI.ENS.FR/~LAPTEV/ACTIONS/HOLLYWOOD2/6. Olympic Sports DataSet
The database has 16 behaviors, 783 videos. The correct rate now is around 75%. : HTTP://VISION.STANFORD.EDU/DATASETS/OLYMPICSPORTS/7. UIUC Action DataSet
This database has been done 98%, it is recommended not to do it. : Some common image databases in http://vision.cs.uiuc.edu/projects/activity/ComputerVision 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 rollup 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): Shine Kinect posture Recognition Database:
http://research.microsoft.com/en-us/downloads/4e1c9174-9b94-4c4d-bc5e-0a9c929869a7/default.aspx Deep Image Processing Database
Http://www.mmk.ei.tum.de/layout.php? LANGEXT=&SELECTEDMAIN=VERSCHIEDENES&SELECTEDSUB=TUMGAIT2#DOWNL Turn from: http://blog.csdn.net/jywowaa/article/ details/50502798 attached: http://www.open-open.com/lib/view/open1453213718870.html http://www.360doc.com/content/14/ 0226/18/15226177_355922001.shtml
Wangduo
Source: http://www.cnblogs.com/wangduo/
This blog does not indicate that the article reproduced by the author Wangduo and the blog Park is shared, welcome reprint, but without the consent of the author must retain this paragraph statement, and in the article page obvious location to the original link, otherwise reserves the right to pursue legal responsibility.
Some common image databases
