# High-precision segmentation

An open-source image segmentation model under the Apache-2.0 license, suitable for various image segmentation tasks.

BRIA RMBG v2.0 is a state-of-the-art background removal model, designed for efficiently separating foreground and background in various types of images, suitable for non-commercial use.

This paper proposes a method to reinterpret Vision Transformer (ViT) as an image segmentation model, demonstrating ViT's potential in image segmentation tasks.

This model reveals the potential of Vision Transformer (ViT) in image segmentation tasks by adapting its architecture specifically for segmentation.

RRWNet is a recursive refinement network for retinal artery-vein segmentation, specifically trained on the RITE dataset

Image segmentation model based on the Transformers library for image segmentation tasks in vision applications

This is a speaker diarization model fine-tuned from the pyannote/segmentation-3.0 base model, specifically optimized for Japanese telephone conversation scenarios.

An image segmentation model fine-tuned based on nvidia/mit-b0 architecture, focused on detecting various types of material defects

A safety vision segmentation model fine-tuned from nvidia/mit-b5, specializing in safety and hazard zone identification in RGBD images

A deep learning model for image segmentation tasks, capable of precisely segmenting different objects or regions in an image.

An image segmentation model fine-tuned from nvidia/mit-b5 for crack detection tasks

Image segmentation model fine-tuned on nvidia/mit-b5, specializing in crack detection tasks

This model is a SegFormer semantic segmentation model fine-tuned on the sidewalk-semantic dataset from Segments.ai, suitable for sidewalk scene analysis.