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Rust Image Classification 3
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Rust Image Classification 3

Developed by SummerChiam
This is an image classification model built on PyTorch and HuggingPics, specifically designed to identify rust conditions in images.
Image Classification
Transformers
#High-precision rust detection#Industrial quality inspection#PyTorch lightweight
Downloads 28
Release Time : 7/30/2022

Model Overview

This model is a binary image classifier capable of accurately distinguishing between rusted and non-rusted images with an accuracy of 96.46%.

Model Features

High accuracy
Achieves 96.46% accuracy in rust identification tasks.
Ease of use
Built with the HuggingPics framework for easy deployment and use.
Custom training
Supports creating custom image classifiers via Google Colab demos.

Model Capabilities

Image classification
Rust detection
Binary classification

Use Cases

Industrial inspection
Metal surface rust detection
Used to detect the presence of rust on metal surfaces
Accurately identifies rusted areas with 96.46% accuracy
Quality control
Product rust inspection
Automatically detects rust defects on products in the production line
Improves inspection efficiency and accuracy
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