Mukesh Sankhla / PCB Vision Inspection Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

Apply filters

Sample name Expected outcome Precision score Result
WIN_20260929_14_15_07_Pro Issue, Issue, Issue, Issue, Issue, Issue, Issue, Issue, Issue, Issue 97%
WIN_20260929_14_14_40_Pro Issue, Issue, Issue, Issue, Issue, Issue 100%
WIN_20260929_14_14_36_Pro Issue, Issue, Issue, Issue, Issue, Issue 98%
WIN_20260929_14_14_26_Pro Issue, Issue, Issue, Issue, Issue, Issue, Issue 55%
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Model testing output

Results

Model version:
mAP 0.23
mAP@[IoU=50] 0.56
mAP@[IoU=75] 0.17
mAP@[area=small] 0.27
mAP@[area=medium] 0.30
mAP@[area=large] -1.00
Recall@[max_detections=1] 0.08
Recall@[max_detections=10] 0.32
Recall@[max_detections=100] 0.34
Recall@[area=small] 0.33
Recall@[area=medium] 0.42
Recall@[area=large] -1.00
Precision score (legacy) 87.3%
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