AIbase
EN
Home
Rust Image Classification 8
R

Rust Image Classification 8

Developed by SummerChiam
This is an image classification model based on the PyTorch framework and generated using HuggingPics, specifically designed to identify rust and non-rust images.
Image Classification
Transformers
#High-precision rust detection#Industrial quality inspection#PyTorch lightweight model
Downloads 28
Release Time : 7/26/2022

Model Overview

The model can accurately classify rust and non-rust images, suitable for industrial inspection, equipment maintenance, and other scenarios.

Model Features

High accuracy
Achieves 95.95% accuracy on the test set, reliably distinguishing between rust and non-rust images.
Easy to use
Generated via the HuggingPics tool, allowing users to easily create their own image classifiers.
Quick deployment
Includes a Google Colab demo for rapid deployment and testing.

Model Capabilities

Rust image recognition
Non-rust image recognition
Binary image classification

Use Cases

Industrial inspection
Equipment rust detection
Detects rust on industrial equipment surfaces to aid in preventive maintenance.
Accurately identifies rust areas with a 95.95% accuracy rate.
Quality control
Product surface quality inspection
Checks metal product surfaces for rust defects.
Effectively identifies defective products.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase