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Browse files- app.py +4 -1
- explanation.jpg +0 -0
app.py
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@@ -62,7 +62,10 @@ title = "Open Remove Background Model (ormbg)"
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description = r"""
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This model is a <strong>fully open-source background remover</strong> optimized for images with humans.
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It is based on [Highly Accurate Dichotomous Image Segmentation research](https://github.com/xuebinqin/DIS).
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This is the first iteration of the model, so there will be improvements!
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If you identify cases where the model fails, <a href='https://huggingface.co/schirrmacher/ormbg/discussions' target='_blank'>upload your examples</a>!
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description = r"""
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This model is a <strong>fully open-source background remover</strong> optimized for images with humans.
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It is based on [Highly Accurate Dichotomous Image Segmentation research](https://github.com/xuebinqin/DIS).
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The model was trained with the synthetic [Human Segmentation Dataset](https://huggingface.co/datasets/schirrmacher/humans). A dataset crafted with [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse) and [IC-Light](https://github.com/lllyasviel/IC-Light).
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<img src="explanation.jpg" alt="Background Remover Model" style="width:100%;height:auto;">
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This is the first iteration of the model, so there will be improvements!
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If you identify cases where the model fails, <a href='https://huggingface.co/schirrmacher/ormbg/discussions' target='_blank'>upload your examples</a>!
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explanation.jpg
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