Edge Impulse Experts / Federated Learning - BYOM image classification model Public
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Test data

Set confidence thresholds
Model variants
Test 'Unoptimized (float32)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
hardhat_3 hardhat - 100% 1 hardhat
Show classification Show in data acquisition
head_8 head - 100% 1 head
Show classification Show in data acquisition
head_7 head - 100% 1 head
Show classification Show in data acquisition
head_6 head - 100% 1 head
Show classification Show in data acquisition
head_5 head - 100% 1 head
Show classification Show in data acquisition
head_4 head - 100% 1 head
Show classification Show in data acquisition
head_3 head - 100% 1 head
Show classification Show in data acquisition
head_2 head - 100% 1 head
Show classification Show in data acquisition
head_1 head - 100% 1 head
Show classification Show in data acquisition
hardhat_8 hardhat - 100% 1 hardhat
Show classification Show in data acquisition
hardhat_7 hardhat - 100% 1 hardhat
Show classification Show in data acquisition
hardhat_6 hardhat - 100% 1 hardhat
Show classification Show in data acquisition
hardhat_5 hardhat - 100% 1 hardhat
Show classification Show in data acquisition
hardhat_4 hardhat - 100% 1 hardhat
Show classification Show in data acquisition
hardhat_2 hardhat - 0% 1 head
Show classification Show in data acquisition
hardhat_1 hardhat - 100% 1 hardhat
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
93.75%

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