Thejas_Avishkari / secret key object Public
Target: Arduino UNO Q (Qualcomm QRB2210) Clone this project

Test data

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Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Precision score Result
WhatsApp Image 2026-08-05 at 10.59.18 AM (9) secret_object 89%
Show classification Show in data acquisition Show in feature explorer
WhatsApp Image 2026-08-05 at 10.59.18 AM (18) secret_object 100%
Show classification Show in data acquisition Show in feature explorer
WhatsApp Image 2026-08-05 at 10.59.18 AM (27) secret_object, secret_object 95%
Show classification Show in data acquisition Show in feature explorer
WhatsApp Image 2026-08-05 at 10.59.18 AM (22) secret_object 100%
Show classification Show in data acquisition Show in feature explorer
WhatsApp Image 2026-08-05 at 10.59.18 AM (14) secret_object 100%
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
mAP@50
1.00

Metrics for Object detection

Metric Value
mAP 0.69
mAP@[IoU=50] 1.00
mAP@[IoU=75] 1.00
mAP@[area=small] -1.00
mAP@[area=medium] 0.72
mAP@[area=large] 0.60
Recall@[max_detections=1] 0.60
Recall@[max_detections=10] 0.70
Recall@[max_detections=100] 0.70
Recall@[area=small] -1.00
Recall@[area=medium] 0.72
Recall@[area=large] 0.60
Precision score (legacy) 95.3%
Accuracy (legacy) 100%

Confusion matrix

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Feature explorer

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