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Segformer B0 Finetuned Morphpadver1 Hgo Coord V1

Developed by NICOPOI-9
SegFormer image segmentation model based on NVIDIA MIT-B1 architecture, fine-tuned on specific datasets, excels in high-precision image segmentation tasks
Downloads 29
Release Time : 4/25/2025

Model Overview

This model is a SegFormer-b0 variant based on the nvidia/mit-b1 architecture, fine-tuned on the NICOPOI-9/morphpad_coord_hgo_512_4class dataset, specifically designed for image segmentation tasks. It demonstrated outstanding performance in evaluations, achieving a mean Intersection over Union (mIoU) of 0.9579

Model Features

High-precision segmentation
Achieved an average Intersection over Union (mIoU) of 0.9579 and an average accuracy of 0.9785 on the evaluation set, demonstrating excellent performance
Lightweight architecture
Based on the SegFormer-b0 architecture, balancing performance and computational efficiency
Multi-angle adaptability
Maintains stable segmentation performance across different angles (0-0, 0-90, 90-0, 90-90)

Model Capabilities

Image segmentation
Pixel-level classification
Semantic segmentation

Use Cases

Medical image analysis
Tissue segmentation
Used for precise segmentation of specific tissues in medical images
Industrial inspection
Defect detection
Identifies and segments defective areas on the surface of industrial products
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