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I read some papers about state-of-the-art semantic segmentation models and in all of them, authors use for comparison F1-score metric, but they did not write whether they use the "micro" or "macro" version of it.

Does anyone know which F1-score is used to describe the segmentation results and why it is so obvious that authors do not define it in papers?

Sample papers:

https://arxiv.org/pdf/1709.00201.pdf

https://arxiv.org/pdf/1511.00561.pdf

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  • $\begingroup$ Maybe you can describe what the difference between the "micro" and "macro" versions are, in terms of definition, or what you mean by that. I'm not super familiar with this metric, i.e. I thought there was only one version of it, so can you clarify what you mean by "micro" and "macro"? In any case, at least the first paper, provides a definition of F1-measure, which is what I suppose what they use. $\endgroup$
    – nbro
    Feb 11 at 20:01

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