Avi / micro_ros_ei Public
Target: Cortex-M7 216MHz 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
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
human human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
human human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
human human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
human human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
human human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
human human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
head human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
head human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
head human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
head human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
head human 100% 1 human
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 0% 1 human
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
human human 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
88.89%

Confusion matrix

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Feature explorer

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