rbgirshick/fast-rcnn
Fast R-CNN is a deep ConvNet-based object detection framework written in Python and C++/Caffe.
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Fast R-CNN is a fast object detection framework using deep convolutional neural networks. It trains state-of-the-art detection models like VGG16 significantly faster than prior methods (R-CNN, SPPnet) and achieves higher mean Average Precision on PASCAL VOC. Built on Caffe with Python bindings, it was described in the ICCV 2015 paper by Ross Girshick.
Frequently asked
- What is rbgirshick/fast-rcnn?
- Fast R-CNN is a deep ConvNet-based object detection framework written in Python and C++/Caffe.
- Is fast-rcnn open source?
- Yes — rbgirshick/fast-rcnn is an open-source project tracked on heatdrop.
- What language is fast-rcnn written in?
- rbgirshick/fast-rcnn is primarily written in Python.
- How popular is fast-rcnn?
- rbgirshick/fast-rcnn has 3.5k stars on GitHub.
- Where can I find fast-rcnn?
- rbgirshick/fast-rcnn is on GitHub at https://github.com/rbgirshick/fast-rcnn.