5. The recognition apparatus according to claim 1 , wherein, when the attribute of the image for each of the extracted object candidate regions is learned, object candidate regions are classified in accordance with an attribute of the image.
5. The recognition apparatus according to claim 1 , wherein, when the attribute of the image for each of the extracted object candidate regions is learned, object candidate regions are classified in accordance with an attribute of the image. 6. The recognition apparatus according to claim 5 , wherein, when classifying object candidate regions, performing learning so that a region taught as an important object candidate region is preferentially classified.