Zalmotek / Arduino Nicla Vision - People Counting Public
Target: Cortex-M4F 80MHz Clone this project

Test data

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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 F1 score Result
00104 person, person, person 85%
Show classification Show in data acquisition Show in feature explorer
00105 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00101 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00095 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00091 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00085 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00090 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00088 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00084 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00083 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00082 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00019 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00080 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00078 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00071 person, person 80%
Show classification Show in data acquisition Show in feature explorer
00077 person, person 100%
Show classification Show in data acquisition Show in feature explorer
00067 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00061 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00015 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00014 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00049 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00047 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00011 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00039 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00033 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00008 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00026 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00007 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00003 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
00000 person, person, person 100%
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
100.00%

Confusion matrix

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Feature explorer

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