dishadometi / Smart animal detecting light system Public
Target: Cortex-M4F 80MHz 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 Accuracy Result
street-2 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
bird-1 non squirrel 100% non squirrel
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chipmunk-5 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
chipmunk-3 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
squirrel-2 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
cat-1 non squirrel 100% non squirrel
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squirrel-1 squirrel 100% squirrel
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chipmunk-3 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
006 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
002 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
005 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
032 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
024 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
026 non squirrel 0% uncertain
Show classification Show in data acquisition Show in feature explorer
023 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
028 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
010 non squirrel 0% squirrel
Show classification Show in data acquisition Show in feature explorer
016 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
001 non squirrel 100% non squirrel
Show classification Show in data acquisition Show in feature explorer
025 squirrel 0% non squirrel
Show classification Show in data acquisition Show in feature explorer
032 squirrel 0% uncertain
Show classification Show in data acquisition Show in feature explorer
021 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
003 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
013 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
004 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
017 squirrel 100% squirrel
Show classification Show in data acquisition Show in feature explorer
006 squirrel 0% non squirrel
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
81.48%

Metrics for Transfer learning

Metric Value
Area under ROC Curve 0.89
Weighted average Precision 0.89
Weighted average Recall 0.89
Weighted average F1 score 0.89

Confusion matrix

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Feature explorer

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