Commit b89de1df authored by Ross Girshick's avatar Ross Girshick

Update README.md

parent 6b8b56cb
......@@ -4,11 +4,11 @@ Created by Ross Girshick at Microsoft Research, Redmond.
### Introduction
**Fast R-CNN** is a fast framework for object detection with deep ConvNets. Fast R-CNN is
- written in Python and C++/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,
- and has a significantly higher mAP on PASCAL VOC than both R-CNN and SPPnet.
- has a significantly higher mAP on PASCAL VOC than both R-CNN and SPPnet,
- and is written in Python and C++/Caffe.
Fast R-CNN was initially described in an [arXiv tech report](http://arxiv.org/abs/1504.08083).
......@@ -18,7 +18,7 @@ Fast R-CNN is released under the MIT License (refer to the LICENSE file for deta
### Citing Fast R-CNN
If you find R-CNN useful in your research, please consider citing:
If you find Fast R-CNN useful in your research, please consider citing:
@article{girshick15fastrcnn,
Author = {Ross Girshick},
......@@ -37,7 +37,7 @@ If you find R-CNN useful in your research, please consider citing:
### Requirements: software
1. Requirements for `Caffe` and `pycaffe` (see: [Caffe installation instructions](http://caffe.berkeleyvision.org/installation.html)
1. Requirements for `Caffe` and `pycaffe` (see: [Caffe installation instructions](http://caffe.berkeleyvision.org/installation.html))
**Note:** Caffe *must* be built with support for Python layers!
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