Dan / Dog Doorbell Public
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
IMG_9382 Sparky 80%
IMG_2820 Sparky 89%
IMG_2656 Sparky 89%
IMG_9328 Sparky 89%
IMG_3046 Sparky 89%
IMG_2959 Sparky 89%
IMG_1504 - 0%
IMG_0601 Sparky 40%
IMG_9573 Sparky 89%
IMG_9334 Sparky 89%
IMG_9879 Sparky 89%
IMG_1185 Sparky 89%
IMG_2079 Sparky 89%
IMG_1433 Sparky 89%
IMG_9018 Sparky 89%
IMG_3458 Small Sparky 80%
IMG_4550 Small Sparky 80%
IMG_2768 Small Sparky 89%
IMG_2925 Small Sparky 69%
IMG_2906 Small Sparky 89%
IMG_2727 Small Sparky, Sparky 80%
IMG_4248 Small Sparky 69%
IMG_0569 Small Sparky 69%
IMG_3834 Small Sparky 89%
IMG_5045 Small Sparky 80%
IMG_4915 Small Sparky 89%
IMG_4854 Small Sparky 69%
IMG_5248 Small Sparky 89%
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Model testing output

Results

Model version:
mAP 0.51
mAP@[IoU=50] 0.87
mAP@[IoU=75] 0.59
mAP@[area=small] -1.00
mAP@[area=medium] -1.00
mAP@[area=large] 0.52
Recall@[max_detections=1] 0.63
Recall@[max_detections=10] 0.67
Recall@[max_detections=100] 0.67
Recall@[area=small] -1.00
Recall@[area=medium] -1.00
Recall@[area=large] 0.67
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