Eoin / AI Mechanic Public
Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

Test data

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Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Length Accuracy Result
Background Noise.2qsjpan6 Background Noise 21s 0% 41 uncertain
Show classification Show in data acquisition Show in feature explorer
idling.2qshkrkf idling 1s 0% 1 air leak
Show classification Show in data acquisition Show in feature explorer
testing.2qqg3ocq testing 10s 19 Background Noise
Show classification Show in data acquisition Show in feature explorer
unknown.2n0ojhbi unknown 1s 1 background noise
Show classification Show in data acquisition Show in feature explorer
unknown.2n0oilbh unknown 1s 1 background noise
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
0.00%

Confusion matrix

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Feature explorer

The feature explorer is only supported when you have a single DSP block
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