Mateusz / Animal Binary Classifier Public
Target: Espressif ESP-EYE (ESP32 240MHz) 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
empty.114 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.103 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.109 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.099 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.095 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.090 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.086 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.083 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.073 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.068 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
empty.065 empty 100% 1 empty
Show classification Show in data acquisition Show in feature explorer
animal.058 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.057 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.047 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.043 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.034 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.036 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.031 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.023 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.006 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.007 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.014 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
animal.003 animal 100% 1 animal
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
100.00%

Metrics for Classifier

Metric Value
Area under ROC Curve 1.00
Weighted average Precision 1.00
Weighted average Recall 1.00
Weighted average F1 score 1.00

Confusion matrix

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Feature explorer

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