ç 究室ã§ã¯ãããã¾ã§Generic Object Recognitionç¨ã®ãã¼ã¿ã»ãã(å¤éã®ã¢ããã¼ã·ã§ã³æ¸ã®ç»åãã¡ã¤ã«)ã¨ãã¦Corel Image Dataã使ç¨ãã¦ãããããªãã§ãããåç¨ç»åã¨ããã®ã¨ãCorel社ã販売ãæ¢ãã¦ãã¾ã£ãã¨ãããã¨ããã£ã¦ããä»ã®ãã¼ã¿ã»ããã試ãã¦ã¿ããã¨æ¤è¨ä¸ãåè£ã«ãªã£ã¦ããã®ã¯ã以ä¸ã Caltech101(Caltech256)ããã®åã®éããCalifornia Institute of Technologyã§Fei-Fei Liçã«ãã£ã¦éããããã«ãã´ãªåããããç»åã»ãããã«ãã´ãªã決ããGoogle Image Search+人åã§æ¢ããç»åããã®ãã¼ã¿ã®åé¡ç¹ã¯ããã©ã¢ã°ã©ã³ãã»ãªãã¸ã§ã¯ãã«ã ããããã1ã¤ã®ãªãã¸ã§ã¯ãã«ãããã¼ã¯ã¼ããä»ãã¦ãªããã©ã¤ã»ã³ã¹ãä¸æã The PASCAL Object Recognit
DATABASES When benchmarking an algorithm it is recommendable to use a standard test data set for researchers to be able to directly compare the results. While there are many databases in use currently, the choice of an appropriate database to be used should be made based on the task given (aging, expressions, lighting etc). Another way is to choose the data set specific to the property to be teste
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