Edge Impulse Experts / edge-impulse-object-detection-with-vlm 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
000836 1, 1 0%
002827 1, 1 0%
002172 2 0%
003090 1, 1, 2, 2, 2, 4 0%
002577 1, 1 0%
003494 1 70%
000835 0, 1, 1, 1 15%
002561 1 0%
003125 3 0%
003284 1, 1, 1, 1 0%
002603 1 0%
002164 0, 0 0%
001684 0, 0, 4 22%
001848 0 90%
001531 0, 0, 4 0%
002996 0, 1, 1, 2 25%
000824 5 90%
003849 0, 1, 1, 1 10%
003478 1, 1 0%
002216 1, 1, 1, 1 0%
000561 1, 1, 2 0%
000038 0, 0, 0, 4 49%
002411 0, 0 0%
001087 1, 2, 2, 2, 5 30%
002954 0, 1, 1, 1, 1 0%
002015 1 0%
003889 3 80%
003651 1 0%
001287 0, 1, 1 0%
001318 0 0%
002822 0 0%
002176 0, 2 0%
002604 1, 1 20%
002412 0, 1 0%
003042 3 0%
002298 1 0%
002924 0 0%
001008 5 0%
002449 0 0%
000060 5 0%
003795 3 0%
001141 1, 1, 1, 2, 2 0%
003636 1 80%
003408 0, 3 0%
002925 0 0%
003769 3 90%
003594 1, 1 0%
002503 0, 0, 0, 0, 2, 3, 4 0%
000660 5 0%
001026 5 0%
003157 3 70%
000516 0, 0, 0, 1, 2, 2 13%
003962 1 0%
002665 0, 3 49%
002881 1 0%
003234 3 99%
003590 1, 1, 1 33%
001812 1, 1, 1 0%
003142 3 90%
003744 0, 0, 1 0%
000661 5 0%
000852 0, 3 0%
001025 5 90%
003340 0, 0, 1, 1, 2, 2, 2, 4 8%
001541 1 0%
002316 0, 0, 1 0%
002909 0, 1, 2 0%
001838 0, 0, 0, 0 30%
003785 3 0%
002667 0, 1 90%
002869 1 0%
003828 3 80%
001811 0, 1 0%
001583 0 0%
003431 0, 0, 1, 1, 1, 1, 1 0%
001559 0, 1, 1 20%
002093 1 0%
003428 0, 1 0%
000892 0, 0, 2 20%
000860 0, 0, 1, 1 0%
000445 1 0%
000531 0, 1, 1, 2 23%
001411 0, 1 0%
003206 1, 3 0%
002695 0 30%
000097 1 0%
002859 0 70%
003818 0, 4 35%
002509 0, 1, 1 15%
000524 0 0%
003371 4 0%
002537 0, 1 30%
001599 0, 1, 1, 1, 1 0%
003832 0, 0, 0, 0, 5 0%
003749 3 0%
001823 1, 1 0%
000268 0, 3, 4 0%
003205 3 80%
002682 0, 2, 2, 2, 2, 4 3%
002867 0, 1 0%
001361 0, 0, 0 0%
000255 3 0%
000241 2 0%
002442 0 0%
000876 0, 0, 1 0%
001759 0, 0, 1, 1 17%
003770 3 0%
003348 1, 4 15%
002255 1, 1 75%
000640 1 0%
001560 0, 4 0%
001400 1 0%
003029 3 80%
002647 0 0%
003203 3 0%
000722 5 99%
000086 0, 0, 0, 1, 2 0%
001159 3 0%
003982 3 0%
000469 3 0%
001213 1, 1, 1 0%
002083 0 0%
001062 5 0%
002423 0, 0 35%
001880 0 0%
001089 5 0%
003271 0, 0 0%
000751 5 0%
000976 1 0%
001711 0, 1, 1 15%
001539 0, 0 0%
002568 1 0%
001673 0, 1, 1, 4 0%
001934 1 0%
000035 0, 0, 0, 1, 1, 2, 4 22%
002636 1, 1, 2, 4 18%
003930 3 80%
001316 1 10%
000578 0, 0, 2 0%
000381 0, 0, 1 0%
003303 3 80%
002757 0, 0 0%
001289 1 0%
000187 3 0%
000626 0, 1, 1, 1, 1, 1 0%
002790 1, 1 0%
003673 1, 1 35%
002197 1 99%
003896 3 80%
003909 0, 1, 1, 1 0%
003706 1 0%
002778 0 0%
001661 3 99%
003512 0, 1, 1, 2, 2 0%
000225 3 0%
003710 1 0%
002631 0 0%
002817 1 0%
002816 1 0%
003659 4 0%
001927 2, 4 0%
002962 0, 1, 1 0%
002553 2, 2 0%
000146 - 0%
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Model testing output

Results

Model version:
mAP 0.21
mAP@[IoU=50] 0.34
mAP@[IoU=75] 0.29
mAP@[area=small] 0.00
mAP@[area=medium] 0.00
mAP@[area=large] 0.21
Recall@[max_detections=1] 0.25
Recall@[max_detections=10] 0.25
Recall@[max_detections=100] 0.25
Recall@[area=small] 0.00
Recall@[area=medium] 0.00
Recall@[area=large] 0.26
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