princep / ThingTank 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
testing.6936cjp3 - 100%
testing.6936c27a - 100%
testing.6936bebm - 100%
testing.6936a22c glass 0%
Ball.68uhhue4 green ball 90%
Guitar.68ui2gv1 guitar 90%
Candle.68ui87rl candle 100%
Car.68uhr1uj car 100%
Slippers.68ui60mj slippers 60%
Elephant.68ui1em5 elephant 90%
Comb.68ui9aua comb 70%
Comb.68ui950f comb 79%
Candle.68ui8ejl jar 0%
Candle.68ui8e24 jar 0%
Glass.68ui722j glass 100%
Glass.68ui6u0s glass 90%
Stool.68ui454s stool 100%
Chair.68ui3jme chair 70%
Chair.68ui3ih6 chair 79%
Chair.68ui3b43 - 0%
Elephant.68ui15mm - 100%
Elephant.68ui0s2m blue elephant 0%
Elephant.68ui0lgo blue elephant 0%
Tortoise.68ui01t4 tortoise 0%
Tortoise.68uhvo6a tortoise 90%
Tiger.68uhu69s tiger 79%
Minion.68uhsbd6 minion 70%
Minion.68uhsaco minion 70%
Car.68uhquj0 scooter 0%
Kiwi.68uhnkt2 kiwi 50%
Kiwi.68uhmasa kiwi 90%
Octopus.68uhkms0 octopus 90%
Bat.68uhjcj4 bat 90%
Bat.68uhj5tl bat 90%
Elephant.68uhga6h elephant 90%
Elephant.68uhfq12 elephant 100%
Teddy bear.68uhdmb4 Monkey 100%
JCB.68uhasrh JCB 90%
Bicycle.68sepkq0 bicycle 70%
Bicycle.68sep94u bicycle 0%
Helmet.68senvaf helmet 0%
Helmet.68seni7f helmet 90%
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Model testing output

Results

Model version:
mAP 0.48
mAP@[IoU=50] 0.81
mAP@[IoU=75] 0.49
mAP@[area=small] -1.00
mAP@[area=medium] 0.70
mAP@[area=large] 0.48
Recall@[max_detections=1] 0.53
Recall@[max_detections=10] 0.53
Recall@[max_detections=100] 0.53
Recall@[area=small] -1.00
Recall@[area=medium] 0.70
Recall@[area=large] 0.52
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