BEN2 (Background Erase Network) is an innovative image segmentation model that employs the Confidence Guided Matting (CGM) process. It utilizes a refinement network specifically designed to handle pixels with lower model confidence, achieving more precise cut-out effects. BEN2 excels in hair segmentation, 4K image processing, object segmentation, and edge refinement. Its base model is open-source, allowing users to try the complete model for free via API or web demonstration. The model's training data includes the DIS5k dataset and a 22K proprietary segmentation dataset, meeting various image processing needs.