SoliDAIR EOLT visual inspection dataset UC BRO
Abstract
This dataset was recorded in an automotive production environment during End-of-Line optical inspections of door modules. The primary aim of the dataset is to support the development and evaluation of machine-learning models for AI-enabled optical inspection systems, with a focus on usability by non-AI experts.
Fields of Study & Subjects
Industrial Vision Systems and Defect Detection
Advanced Neural Network Applications
Non-Destructive Testing Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset