Edge Impulse Experts / Federated Learning - BYOM image classification model Public
Target: Raspberry Pi 4 Clone this project

Test data

Set confidence thresholds
Model variants
No additional model variants available Test 'Unoptimized (float32)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome 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%

Confusion matrix

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Feature explorer

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