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Segformer B0 Finetuned Morphpadver1 Hgo Coord V3

Developed by NICOPOI-9
An image segmentation model fine-tuned based on nvidia/mit-b3, trained on the NICOPOI-9/morphpad_coord_hgo_512_4class dataset, excelling in high-precision image segmentation tasks.
Downloads 22
Release Time : 4/25/2025

Model Overview

This model is a variant of the SegFormer architecture, specifically designed for image segmentation tasks. Through fine-tuning on a specific dataset, it achieves extremely high segmentation accuracy (mIoU reaches 0.9952).

Model Features

High-precision segmentation
Achieves an average IoU (mIoU) of 0.9952 on the evaluation set, demonstrating excellent performance.
Multi-angle adaptation
Supports image segmentation at 0-degree and 90-degree angles, with accuracy exceeding 99% for each angle.
Efficient fine-tuning
Based on a pre-trained model, fine-tuning achieves high performance in just 60 training epochs.

Model Capabilities

Image segmentation
Pixel-level classification
Multi-angle image processing

Use Cases

Medical imaging
Tissue segmentation
Used for segmenting specific tissue regions in medical images
Accuracy can reach over 99%
Industrial inspection
Defect detection
Identifies defect areas on product surfaces
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