High-Precision Defect Detection in Solar Cells Using YOLOv10 Deep Learning Model
This study presents an advanced defect detection approach for solar cells using the YOLOv10 deep learning model. Leveraging a comprehensive dataset of 10,500 solar cell images annotated with 12 distinct defect types, our model integrates Compact Inverted Blocks (CIBs) and Partial Self-Attention (PSA...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
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| Series: | Solar |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9941/4/4/30 |
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