E

Ecc Segformer Main

Developed by rishitunu
An image segmentation model fine-tuned from nvidia/mit-b5 for crack detection tasks
Downloads 15
Release Time : 8/28/2023

Model Overview

This model is an image segmentation model based on the SegFormer architecture, specifically designed for engineering crack detection. It demonstrates good crack recognition capabilities on evaluation datasets.

Model Features

Crack detection capability
Optimized specifically for engineering crack detection tasks, achieving an Intersection over Union (IoU) of 0.4658 on evaluation datasets
SegFormer architecture
Based on the efficient SegFormer architecture, using mit-b5 as the backbone

Model Capabilities

Image segmentation
Crack detection
Engineering structural health monitoring

Use Cases

Infrastructure inspection
Concrete structure crack detection
Used to detect cracks in concrete structures such as buildings and bridges
Crack detection accuracy of 0.4658
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