json schema for data exchange test results sep 1240
-
Updated
Apr 7, 2026
json schema for data exchange test results sep 1240
This project is based on the analysis of surface defects of coils in steel, and combines the deep transfer learning algorithm, which is the core technology of artificial intelligence, to recognize and classify defects. Improving the quality of coil detection and enterprise productivity.
Fault detection in steel plates using different machine learning models.
🔍Explore steel plate defect prediction with EDA, modelling, and multi-class classification 🛠
A machine learning classification project aimed to predict faults on industrial steel plates.
Add a description, image, and links to the steel-plate-classification topic page so that developers can more easily learn about it.
To associate your repository with the steel-plate-classification topic, visit your repo's landing page and select "manage topics."