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Birefnet Legacy
BiRefNet is a high-resolution binary image segmentation model, focusing on background removal and mask generation tasks.
Downloads 181
Release Time : 5/13/2024
Model Overview
BiRefNet is a high-resolution binary image segmentation model based on PyTorch, primarily used for background removal and mask generation tasks. The model has been trained on multiple public datasets and can handle high-quality image segmentation requirements.
Model Features
High-resolution processing
Capable of handling high-resolution image binary segmentation tasks
Multi-dataset training
Trained on multiple public datasets including DIS5K-TR, DIS-TEs, DUTS-TR_TE
PyTorch implementation
Implemented based on the PyTorch framework, easy to integrate and use
Model Capabilities
Image segmentation
Background removal
Mask generation
Binary image processing
Use Cases
Image editing
Background removal
Precisely separate subjects from backgrounds in images
Generate high-quality transparent background images
Object segmentation
Segment specific objects from complex scenes
Generate precise object masks
Computer vision
Preprocessing
Provide preprocessing support for other vision tasks
Improve the processing accuracy of subsequent vision tasks
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