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@@ -204,12 +204,16 @@ BEN2 is a more advanced version of BEN, offering:
- Support for more image types
- Suitable for batch processing
## BIREFNET-HR
BIREFNET-HR is a powerful model for image segmentation, offering:
- High accuracy in complex environments
- Precise edge detection and preservation
- Excellent handling of fine details
- Support for multiple objects in a single image
## BIREFNET MODELS
BIREFNET is a powerful model for image segmentation, offering:
- BiRefNet-general purpose model (balanced performance)
- BiRefNet_512x512 model (optimized for 512x512 resolution)
- BiRefNet-portrait model (optimized for portrait/human matting)
- BiRefNet-matting model (general purpose matting)
- BiRefNet-HR model (high resolution up to 2560x2560)
- BiRefNet-HR-matting model (high resolution matting)
- BiRefNet_lite model (lightweight version for faster processing)
- BiRefNet_lite-2K model (lightweight version for 2K resolution)
## SAM
SAM is a powerful model for object detection and segmentation, offering:
@@ -261,7 +265,7 @@ GroundingDINO is a model for text-prompted object detection and segmentation, of
- INSPYRENET: https://github.com/plemeri/InSPyReNet
- BEN: https://huggingface.co/PramaLLC/BEN
- BEN2: https://huggingface.co/PramaLLC/BEN2
- BiRefNet-HR: https://huggingface.co/ZhengPeng7/BiRefNet_HR
- BiRefNet: https://huggingface.co/ZhengPeng7
- SAM: https://huggingface.co/facebook/sam-vit-base
- GroundingDINO: https://github.com/IDEA-Research/GroundingDINO
- Clothes Segment: https://huggingface.co/mattmdjaga/segformer_b2_clothes