BEN2
BEN2 is a deep learning-based image segmentation model focusing on background erasure and foreground extraction.
Product Details
BEN2 (Background Erase Network) is an innovative image segmentation model that uses the Confidence Guided Matting (CGM) process. It uses a thinning network to specifically process pixels where the model has lower confidence, resulting in more accurate matting effects. BEN2 performs well in hair matting, 4K image processing, object segmentation and edge refinement. Its base model is open source, and users can try the full model for free via API or web demo. The model training data includes DIS5k data set and 22K proprietary segmentation data set, which can meet a variety of image processing needs.
Main Features
How to Use
Target Users
This product is suitable for professional designers, video editors, content creators, and researchers and developers in related fields who need to perform image segmentation, background removal, and foreground extraction. It can help them quickly and efficiently complete background processing tasks for images and videos, improving work efficiency and creation quality.
Examples
Designers use BEN2 to quickly remove the background of product images and improve design efficiency.
Video editors use BEN2's video segmentation function to quickly extract foreground elements in videos for special effects production.
Content creators use BEN2 to batch process images to quickly generate high-quality social media content.
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