There are several reasons why the evaluation of results on datasets like the Pascal-VOC and ILSRVC is hard. It is well described in Pascal VOC 2009 challenge paper. Here are some of these: Images may contain instances of multiple classes so it is not sufficient to simply ask, “Which one of the m classes does this image belong to?” and then use the predicted result to compare with the actual....

I was playing around with this implementation of RCNN released in 2015 by Ross Girshik. This method is described in detail in his Faster-RCNN paper resleased in NIPS 2015. (I was there and this groundbreaking unfurling of CNN+RCNN was happening around me which gives me all the more reason to be super excited!). I used the pre-trained VGG 16 net where VGG stands for Virtual Geometry Group and 16 because the network is 16-layered....

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