R-CNN combines bottom-up region proposals with rich features computed by a convolutional neural network for object detection. At its release, it achieved a 30% relative improvement over previous best results on PASCAL VOC 2012. The system laid the groundwork for subsequent detection frameworks like Fast and Faster R-CNN.