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#1
by
julien-c
HF staff
- opened
README.md
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---
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title: Mean IoU
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emoji: 🤗
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colorFrom: blue
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colorTo: red
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sdk: gradio
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@@ -8,10 +8,18 @@ sdk_version: 3.0.2
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app_file: app.py
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pinned: false
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tags:
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- evaluate
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- metric
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# Metric Card for Mean IoU
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---
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title: Mean IoU
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emoji: 🤗
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colorFrom: blue
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colorTo: red
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sdk: gradio
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app_file: app.py
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pinned: false
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tags:
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- evaluate
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- metric
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description: >-
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IoU is the area of overlap between the predicted segmentation and the ground
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truth divided by the area of union
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between the predicted segmentation and the ground truth. For binary (two
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classes) or multi-class segmentation,
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the mean IoU of the image is calculated by taking the IoU of each class and
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averaging them.
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---
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# Metric Card for Mean IoU
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