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Segformer B0 Finetuned Batch1w5 15Dec

Developed by PushkarA07
A lightweight image segmentation model based on the SegFormer architecture, fine-tuned on specific datasets, excelling in high-precision pixel-level classification tasks
Downloads 15
Release Time : 12/14/2024

Model Overview

This model is a fine-tuned version of SegFormer-B0, specifically designed for image segmentation tasks. It demonstrates excellent intersection-over-union and accuracy metrics in evaluations, with particularly strong performance in anomaly detection.

Model Features

High-precision segmentation
Achieves a mean intersection-over-union of 0.9143 and mean accuracy of 0.9529 on the evaluation set
Anomaly detection advantage
Specially optimized for anomaly detection with an anomaly intersection-over-union of 0.8302
Lightweight architecture
Based on the lightweight SegFormer-B0 design, suitable for resource-constrained environments

Model Capabilities

Image semantic segmentation
Pixel-level classification
Anomaly region detection
High-resolution image processing

Use Cases

Industrial inspection
Product defect detection
Identifies abnormal regions on manufactured product surfaces
Anomaly detection accuracy of 90.66%
Medical imaging
Lesion region segmentation
Marks abnormal tissue regions in medical images
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