# 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.

Repository: https://github.com/Charmve/Surface-Defect-Detection
Canonical: https://ross.abutalabs.com/products/surface-defect-detection
Homepage: https://github.com/Charmve/computer-vision-in-action
Language: Python
License: MIT
License Family: permissive
Topics: surface-detection, surface-defects, image-segmentation, pcb-surface-defect, surface-defect-detection, paper, defects, dataset, surface, deep-learning, charmve
Last push: 2024-05-27T02:43:28+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2166, "days_push": 828, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4101, forks 608 (observed 2026-08-28T04:08:35.533468+00:00)

## What it is
A curated collection of open-source datasets and key research papers for industrial surface defect detection, covering areas like PCB, metal, and semiconductor surfaces. It serves as a reference hub for machine-vision-based quality inspection research.

## Use cases
- find datasets for surface defect detection
- research papers on industrial defect inspection
- train a deep learning model to detect PCB defects
- benchmark defect detection algorithms on public datasets
- build a machine vision quality inspection system
- learn about image segmentation for defect localization

## When to choose
- you need a comprehensive index of defect detection datasets and papers
- you are researching industrial visual quality inspection
- you want ready download links for defect image datasets

## When to avoid
- you need a ready-to-run defect detection model or production tool
- you want a general-purpose computer vision library
- you need non-image defect inspection methods

## Facets
- artifact type: dataset
- maturity: active
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, image-processing, machine-learning, awesome-lists
- platform: python, cross-platform
- tags: surface-defect-detection, industrial-inspection, dataset-collection, paper-collection, pcb-defects, image-segmentation, quality-inspection

## Member repositories
- Charmve/Surface-Defect-Detection (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:35.533468+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:23:16.292899+00:00, confidence not recorded.
  - readme: https://github.com/Charmve/Surface-Defect-Detection (fetched 2026-08-28T04:08:35.533468+00:00, sha f00b3b5c2d12)
  - homepage: https://github.com/Charmve/computer-vision-in-action (fetched 2026-08-29T09:14:50.790923+00:00, sha 91d6ce023cbf)
- Data as of 2026-08-30T08:39:29.467469+00:00.