LancerLian / py_img_seg_eval

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

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Image Segmentation Evaluation

Martin Keršner, m.kersner@gmail.com

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation.

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

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Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation


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