Aurelien Lequertier / Smoke Detector Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set thresholds
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.

Apply filters

Sample name Expected outcome Length Accuracy Result
ambient.json.25ajs8bf ambient 10s 100% 16 ambient
Show classification Show in data acquisition Show in feature explorer
ambient.json.25ajsm5k ambient 10s 100% 16 ambient
Show classification Show in data acquisition Show in feature explorer
ambient.json.25ajv8jc ambient 10s 100% 16 ambient
Show classification Show in data acquisition Show in feature explorer
meat.json.25akf4uq meat 10s 100% 16 meat
Show classification Show in data acquisition Show in feature explorer
smoke.json.25akjlr0 smoke 5s 100% 6 smoke
Show classification Show in data acquisition Show in feature explorer
smoke.json.25aklfeo smoke 5s 100% 6 smoke
Show classification Show in data acquisition Show in feature explorer
Filter yielded no results, click to adjust the filter

Model testing output

Results

Model version:
Accuracy
100.00%

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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