# High-precision Semantic Segmentation

An image segmentation model fine-tuned on the Dnq2025/Mask2former_Pretrain dataset, based on the facebook/mask2former-swin-base-IN21k-ade-semantic model

RGB three-channel binary segmentation model for leaf vegetation, suitable for shrub/tree scenarios, supporting multi-domain applications such as wildfire fuel assessment

Document image layout detection model fine-tuned based on microsoft/dit-base, capable of recognizing 11 types of document elements

A fashion image segmentation model fine-tuned based on the SegFormer architecture, specifically designed for identifying and segmenting different apparel categories in clothing images

SegFormer model fine-tuned on the ATR dataset, primarily used for clothing segmentation and also applicable to human body segmentation

An image segmentation model fine-tuned on coastline datasets based on nvidia/segformer-b3-finetuned-ade-512-512, specialized in recognizing land cover types such as water bodies, whitewater, and sediments.

An image segmentation model fine-tuned on the SegFormer-b2 architecture, focusing on human model clothing segmentation tasks

An image segmentation model based on the Transformers library, supporting various image segmentation tasks.