rbgirshick/rcnn
A seminal object detection system that uses convolutional neural networks to detect and localize objects in images.
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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.
Frequently asked
- What is rbgirshick/rcnn?
- A seminal object detection system that uses convolutional neural networks to detect and localize objects in images.
- Is rcnn open source?
- Yes — rbgirshick/rcnn is open source, released under the BSD-2-Clause license.
- What language is rcnn written in?
- rbgirshick/rcnn is primarily written in Matlab.
- How popular is rcnn?
- rbgirshick/rcnn has 2.4k stars on GitHub.
- Where can I find rcnn?
- rbgirshick/rcnn is on GitHub at https://github.com/rbgirshick/rcnn.