Summary: This dataset contains information on steel defects, characterized through features related to production variables. It is intended for use in developing models that can predict and classify different types of defects in steel manufacturing.
| Parameter | Value |
|---|---|
| Name | Steel Dataset |
| Labeled | Yes |
| Time Series | No |
| Simulation | No |
| Missing Values | No |
| Dataset Characteristics | Multivariate |
| Feature Type | Real |
| Associated Tasks | Classification |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | INA |
| Source | Kaggle |
The information gathered is from the DAEWOO Steel Co. Ltd in Gwangyang, South Korea. It produces several types of coils, steel plates, and iron plates. The information on electricity consumption is held in a cloud-based system. The information on energy consumption of the industry is stored on the website of the Korea Electric Power Corporation (pccs.kepco.go.kr), and the perspectives on daily, monthly, and annual data are calculated and shown.
Steel manufacturing, Defect detection, Quality control, Industrial inspection, Manufacturing processes