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@@ -19,7 +19,7 @@ Join our [Research Discord Group](https://discord.gg/YYZ3D66t)!
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  ![](examples/image/image01_no_background.png)
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- This model is a **fully open-source background remover** optimized for images with humans. It is based on [Highly Accurate Dichotomous Image Segmentation research](https://github.com/xuebinqin/DIS). The model was trained with the synthetic [Human Segmentation Dataset](https://huggingface.co/datasets/schirrmacher/humans), [P3M-10k](https://paperswithcode.com/dataset/p3m-10k) and [AIM-500](https://paperswithcode.com/dataset/aim-500).
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  This model is similar to [RMBG-1.4](https://huggingface.co/briaai/RMBG-1.4), but with open training data/process and commercially free to use.
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  ![](examples/image/image01_no_background.png)
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+ This model is a **fully open-source background remover** optimized for images with humans. It is based on [Highly Accurate Dichotomous Image Segmentation research](https://github.com/xuebinqin/DIS). The model was trained with the synthetic [Human Segmentation Dataset](https://huggingface.co/datasets/schirrmacher/humans), [P3M-10k](https://paperswithcode.com/dataset/p3m-10k), [PPM-100](https://github.com/ZHKKKe/PPM) and [AIM-500](https://paperswithcode.com/dataset/aim-500).
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  This model is similar to [RMBG-1.4](https://huggingface.co/briaai/RMBG-1.4), but with open training data/process and commercially free to use.
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