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app.py

@@ -60,16 +60,13 @@ def inference(image):
 # Gradio interface setup
 title = "Open Remove Background Model (ormbg)"
 description = r"""
-This model is a <strong>fully open-source background remover</strong> 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), a dataset crafted with [LayerDiffuse](https://github.com/layerdiffusion/LayerDiffuse) and [IC-Light](https://github.com/lllyasviel/IC-Light).
+This model is a <strong>fully open-source background remover</strong> 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 <a href="https://huggingface.co/datasets/schirrmacher/humans">Human Segmentation Dataset</a>, <a href="https://paperswithcode.com/dataset/p3m-10k">P3M-10k</a> and <a href="https://paperswithcode.com/dataset/aim-500">AIM-500</a>.
 
-<img src="file/explanation.jpg" style="width:100%;height:auto;">
-
-This is the first iteration of the model, so there will be improvements!
 If you identify cases where the model fails, <a href='https://huggingface.co/schirrmacher/ormbg/discussions' target='_blank'>upload your examples</a>!
 
 - <a href='https://huggingface.co/schirrmacher/ormbg' target='_blank'>Model card</a>: find inference code, training information, tutorials
 - <a href='https://huggingface.co/schirrmacher/ormbg' target='_blank'>Dataset</a>: see training images, segmentation data, backgrounds
-- <a href='https://discord.gg/YYZ3D66t' target='_blank'>Research</a>: join our Discord group!
+- <a href='https://huggingface.co/schirrmacher/ormbg\#research' target='_blank'>Research</a>: see current approach for improvements
 """
 
 examples = ["./example1.jpeg", "./example2.jpeg", "./example3.jpeg"]

ormbg.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 176717548
+oid sha256:ba5817f4d73b494e60d077b4fa2c008c90ad1dc1eb5a7234a958fb0a699907c2
+size 176720018