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LCFC-Laptop: A Benchmark Dataset for Detecting Surface Defects in Consumer Electronics.

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  • 1Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.

Sensors (Basel, Switzerland)
|August 14, 2025
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Summary

A new dataset of 14,478 consumer electronics surface defect images was created to improve automated visual inspection. This resource aids researchers in developing better defect detection models for the industry.

Keywords:
dataset of surface defects in consumer electronicsobject detectionsegmentationsurface defect detection in consumer electronics

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Area of Science:

  • Computer Vision
  • Materials Science
  • Manufacturing Engineering

Background:

  • Consumer electronics face reputational risks from surface defects.
  • Existing datasets lack specificity for consumer electronics, hindering model performance.
  • Automated defect detection is crucial due to industry automation and short product cycles.

Purpose of the Study:

  • Introduce a specialized dataset for consumer electronics surface defect detection.
  • Address the limitations of existing datasets in this domain.
  • Facilitate the development of advanced defect detection algorithms.

Main Methods:

  • Developed a specialized optical sampling system with six lighting configurations.
  • Collected 14,478 high-resolution images of six defect types (scratches, particles, dirt, etc.).
  • Established standardized annotation criteria and applied bounding boxes and pixelwise masks.

Main Results:

  • Created the first comprehensive, multiclass, multi-defect dataset for consumer electronics surface defects.
  • Dataset includes pixel-level ground-truth annotations for object detection and semantic segmentation.
  • Benchmarked common semantic segmentation methods using the new dataset.

Conclusions:

  • The publicly available dataset supports research in automated surface defect detection.
  • Enables development and testing of algorithms under realistic production conditions.
  • Aims to improve quality control and reduce reputational damage in the consumer electronics industry.