CNN Model Diameter Predictions for Industrial Measurement

Diameter values from the CNN predictions data of Model 1 and Model 2. The dataset is small at 5.5 KB and was authored by Yazid Saif, last updated in March 2026. It is licensed under CC BY 4.0 and available on figshare.

Use Cases

• Compare diameter predictions from Model 1 and Model 2 for workpiece dimension measurement.
• Analyze CNN performance in matching CMM precision for industrial machine vision tasks.
• Use diameter values to study edge detection and surface feature identification in industrial settings.

Strengths

• Dataset is licensed under the permissive CC BY 4.0 license.
• Last updated in March 2026, indicating recent maintenance.
• Focuses on a specific industrial application: workpiece dimension measurement.

Limitations

• Extremely small dataset size of 5.5 KB suggests a limited sample of predictions.
• No column names, row count, or sample data are provided, limiting analytical understanding.
• Scope is narrow, containing only diameter predictions from two specific CNN models.

Provenance

Source

figshare, authored by Yazid Saif.

Collection Method

Predictions from two Convolutional Neural Network (CNN) models.

Freshness

Last updated 2026-03-23.