Related Projects

Projects Using Caffe

Fast R-CNN is a fast framework for object detection with deep ConvNets. Fast R-CNN

• trains state-of-the-art models, like VGG16, 9x faster than traditional R-CNN and 3x faster than SPPnet,
• runs 200x faster than R-CNN and 10x faster than SPPnet at test-time,
• has a significantly higher mAP on PASCAL VOC than both R-CNN and SPPnet,
• and is written in Python and C++/Caffe.

Please take a look at @rbgirshick work at https://github.com/rbgirshick/fast-rcnn

Other Useful Components

• Fast object proposal LPO by @philkr https://github.com/philkr/lpo
• Look here for other object proposal other then selective search.