Commit d7337740 authored by Ross Girshick's avatar Ross Girshick
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Update README.md

Add VOC detection mAP results
parent 62203cd1
......@@ -26,13 +26,24 @@ If you find R-CNN useful in your research, please consider citing:
R-CNN is released under the Simplified BSD License (refer to the
LICENSE file for details).
### PASCAL VOC detection results
Method | VOC 2007 mAP | VOC 2010 mAP | VOC 2012 mAP
-------------- |:------------:|:------------:|:------------:
R-CNN | 54.2% | 50.2% | 49.6%
R-CNN bbox reg | 58.5% | 53.7% | 53.5%
* VOC 2007 per-class results will be published soon at CVPR and on arXiv
* VOC 2010 per-class results are available on the [VOC 2010 leaderboard](http://host.robots.ox.ac.uk:8080/leaderboard/displaylb_dt.php?challengeid=6&compid=4)
* VOC 2010 per-class results are available on the [VOC 2012 leaderboard](http://host.robots.ox.ac.uk:8080/leaderboard/displaylb_dt.php?challengeid=11&compid=4)
### Installing R-CNN
0. **Prerequisites**
0. MATLAB (tested with 2012b on 64-bit Linux)
0. Caffe's [prerequisites](http://caffe.berkeleyvision.org/installation.html#prequequisites)
0. **Install Caffe** (this is the most complicated part)
0. Download this [tagged release of Caffe](http://todo)
0. Download this [tagged release of Caffe](http://github.com/rbgirshick/caffe/archive/v0.1-rcnn.tar.gz)
0. Follow the [Caffe installation instructions](http://caffe.berkeleyvision.org/installation.html)
0. **Important:** Make sure to compile the Caffe MATLAB wrapper, which is not built by default: `$ make matcaffe`
0. Let's call the place where you installed caffe `$CAFFE_HOME`: `$ export CAFFE_HOME=$(pwd)`
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