BEN2: Background Erase Network Overview BEN2 (Background Erase Network) introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline. The architecture employs a refiner network that targets and processes pixels where the base model exhibits lower confidence levels, resulting in more precise and reliable matting results. This model is built on BEN: BEN2 access BEN2 was trained on the DIS5k and our 22K proprietary segmentation dataset. Our enhanced model delivers superior performance in hair matting, 4K processing, object segmentation, and edge refinement. Our Base model is open source. To try the full model through our free web demo or integrate BEN2 into your project with our API: 🌐 backgrounderase.com Contact us For access to our commercial model email us at sales@backgrounderase.com Our website: https://backgrounderase.com/ Follow us on X: https://x.com/PramaResearch/ Installation Quick start code Batch image processing BEN2 video segmentation Video Segmentation BEN2 evaluation RMBG 2.0 did not preserve the DIS 5k validation dataset
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