Charmve/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
This resource provides a comprehensive collection of public datasets and research papers focused on industrial surface defect detection. It compiles image data of various materials and surfaces with defects, along with academic research on how to identify these issues using machine vision. Manufacturing quality control managers, production engineers, and industrial automation specialists can use this to research, benchmark, and develop automated inspection systems.
3,964 stars. No commits in the last 6 months.
Use this if you are developing or implementing automated visual inspection systems for manufacturing and need robust datasets to train and evaluate your models, or if you're researching state-of-the-art methods in defect detection.
Not ideal if you are looking for a ready-to-use software solution to detect defects, as this project primarily offers data and research, not an application.
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3,964
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Language
Python
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MIT
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Last pushed
May 27, 2024
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