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@@ -406,7 +406,7 @@ The available models are:
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- birefnet-hrsod ([download](https://github.com/danielgatis/rembg/releases/download/v0.0.0/BiRefNet-HRSOD_DHU-epoch_115.onnx), [source](https://github.com/ZhengPeng7/BiRefNet)): A pre-trained model for high-resolution salient object detection (HRSOD).
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- birefnet-cod ([download](https://github.com/danielgatis/rembg/releases/download/v0.0.0/BiRefNet-COD-epoch_125.onnx), [source](https://github.com/ZhengPeng7/BiRefNet)): A pre-trained model for concealed object detection (COD).
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- birefnet-massive ([download](https://github.com/danielgatis/rembg/releases/download/v0.0.0/BiRefNet-massive-TR_DIS5K_TR_TEs-epoch_420.onnx), [source](https://github.com/ZhengPeng7/BiRefNet)): A pre-trained model with massive dataset.
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-- ben2-base ([dowload](https://huggingface.co/PramaLLC/BEN2/resolve/main/BEN2_Base.onnx), [source](https://huggingface.co/PramaLLC/BEN2)): introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline.
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+- ben2-base ([download](https://huggingface.co/PramaLLC/BEN2/resolve/main/BEN2_Base.onnx), [source](https://huggingface.co/PramaLLC/BEN2)): introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline.
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### How to train your own model
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BlackNoizE404