Charmve/Surface-Defect-Detection
A curated collection of open-source datasets and academic papers for industrial surface defect detection using deep learning.
Not currently ranked — collecting fresh signals.
star history
This repository aggregates industrial defect detection datasets and critical research papers from 2017 onwards, providing resources for training and evaluating deep learning models on surface defect tasks. It covers datasets for metal surfaces, PCB boards, and other industrial materials, and includes key papers on image segmentation and detection approaches.
Frequently asked
- What is Charmve/Surface-Defect-Detection?
- A curated collection of open-source datasets and academic papers for industrial surface defect detection using deep learning.
- Is Surface-Defect-Detection open source?
- Yes — Charmve/Surface-Defect-Detection is open source, released under the MIT license.
- What language is Surface-Defect-Detection written in?
- Charmve/Surface-Defect-Detection is primarily written in Python.
- How popular is Surface-Defect-Detection?
- Charmve/Surface-Defect-Detection has 4.1k stars on GitHub.
- Where can I find Surface-Defect-Detection?
- Charmve/Surface-Defect-Detection is on GitHub at https://github.com/Charmve/Surface-Defect-Detection.