RCNN was first proposed in a paper by (Girshick et al.) in the year 2013 and became very famous soon after. The system consists of multiple major modules and the combination of these modules gave a result that was better than SOTA at that time. On PASCAL VOC 2010–12 dataset, the RCNN method has achieved a significant mAP of \~53%. On the 200-class ILSVRC2013 dataset, RCNN achieved an improvement over the second-best 24.3%.
Dipankar Das
Aspiring Applied Scientist
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What is R-CNN? – Summarizing Regions with CNN Features
Source: Trends Pinoy
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