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Update README.md
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README.md
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@@ -82,13 +82,13 @@ Within the ambit of each class, the model formulates probability estimates perta
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#### Input image
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<img src="
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#### Output masks
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**Note**: A threshold of 0.5 was applied on every resultant probability matrix to generate a definitive binary mask for each individual class. Also, every outputted segmentation map was resized to the input image resolution.
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<img src="
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## Limitations
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#### Input image
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<img src="/Worldcoin/iris-semantic-segmentation/resolve/main/anonymized.png" width=640 height=480>
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#### Output masks
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**Note**: A threshold of 0.5 was applied on every resultant probability matrix to generate a definitive binary mask for each individual class. Also, every outputted segmentation map was resized to the input image resolution.
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<img src="/Worldcoin/iris-semantic-segmentation/resolve/main/overlayed_segmaps.png">
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## Limitations
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