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https://github.com/martinkersner/py-img-seg-eval
Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation
https://github.com/martinkersner/py-img-seg-eval
Last synced: 1 day ago
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Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation
- Host: GitHub
- URL: https://github.com/martinkersner/py-img-seg-eval
- Owner: martinkersner
- Created: 2015-11-30T10:40:26.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2016-03-03T07:46:14.000Z (almost 9 years ago)
- Last Synced: 2025-01-16T19:22:08.751Z (9 days ago)
- Language: Python
- Homepage:
- Size: 4.88 KB
- Stars: 282
- Watchers: 6
- Forks: 83
- Open Issues: 2
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Metadata Files:
- Readme: README.md
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README
# Image Segmentation Evaluation
Martin Keršner, [m.kersner@gmail.com](mailto:.m.kersner@gmail.com)Evaluation metrics for image segmentation inspired by paper [Fully Convolutional Networks for Semantic Segmentation](http://arxiv.org/abs/1411.4038).
### Pixel accuracy
### Mean accuracy
### Mean IU
### Frequency Weighted IU
#### Explanatory notes
* *n_cl* : number of classes included in ground truth segmentation
* *n_ij* : number of pixels of class *i* predicted to belong to class *j*
* *t_i* : total number of pixels of class *i* in ground truth segmentation