https://github.com/badboysm890/pcb-defect-detection
This project is designed to detect and describe defects in printed circuit boards (PCBs) using a YOLOv5 deep learning model. It identifies common defects like missing holes, open circuits, and short circuits, and provides bounding boxes with confidence levels for each detection.
https://github.com/badboysm890/pcb-defect-detection
detection-model image-processing pcb-manufacturing yolov5
Last synced: over 1 year ago
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This project is designed to detect and describe defects in printed circuit boards (PCBs) using a YOLOv5 deep learning model. It identifies common defects like missing holes, open circuits, and short circuits, and provides bounding boxes with confidence levels for each detection.
- Host: GitHub
- URL: https://github.com/badboysm890/pcb-defect-detection
- Owner: badboysm890
- Created: 2025-01-20T10:47:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-20T11:09:35.000Z (over 1 year ago)
- Last Synced: 2025-01-20T11:40:18.779Z (over 1 year ago)
- Topics: detection-model, image-processing, pcb-manufacturing, yolov5
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0