ujjwalrathod007 / rgb-matrix Public
Target: Arduino Nicla Vision (Cortex-M7 480MHz) 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 Length Accuracy Result
testing.6seoe0ue testing 5s
Show classification Show in data acquisition Show in feature explorer
testing.6seobqaj testing 5s
Show classification Show in data acquisition Show in feature explorer
blue_6.s7 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_6.s2 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
red_7.s9 red 1s 100% 1 red
Show classification Show in data acquisition Show in feature explorer
red_7.s5 red 1s 100% 1 red
Show classification Show in data acquisition Show in feature explorer
rgb1.s3 green 396ms 100% 1 green
Show classification Show in data acquisition Show in feature explorer
red_5.s4 red 1s 100% 1 red
Show classification Show in data acquisition Show in feature explorer
blue_7.s10 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_7.s5 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_9.s12 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_9.s7 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_9.s2 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_8.s6 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_8.s1 blue 954ms 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
red_6.s4 red 1s 100% 1 red
Show classification Show in data acquisition Show in feature explorer
red_3.s5 red 1s 100% 1 red
Show classification Show in data acquisition Show in feature explorer
green_8.s2 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_5.s10 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_5.s9 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_7.s10 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_7.s5 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_4.s9 green 879ms 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_4.s4 green 999ms 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_9.s10 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_9.s1 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
red_8.s7 red 1s 100% 1 red
Show classification Show in data acquisition Show in feature explorer
red_8.s2 red 1s 100% 1 red
Show classification Show in data acquisition Show in feature explorer
blue_10.s12 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_10.s8 blue 961ms 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_10.s3 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_3.s10 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
blue_3.s5 blue 1s 100% 1 blue
Show classification Show in data acquisition Show in feature explorer
green_2.s6 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
green_2.s1 green 489ms 100% 1 green
Show classification Show in data acquisition Show in feature explorer
red_1.s4 green 1s 100% 1 green
Show classification Show in data acquisition Show in feature explorer
rgb.s2 red 479ms 100% 1 red
Show classification Show in data acquisition Show in feature explorer
green_1.s7 red 731ms 100% 1 red
Show classification Show in data acquisition Show in feature explorer
green_1.s2 red 673ms 100% 1 red
Show classification Show in data acquisition Show in feature explorer
green_3 green_3 15s 9 blue, 9 green, 9 uncertain, 2 red
Show classification Show in data acquisition Show in feature explorer
blue_5 blue_5 15s 16 blue, 9 red, 2 green, 2 uncertain
Show classification Show in data acquisition Show in feature explorer
red_4 red_4 15s 17 red, 6 blue, 5 uncertain, 1 green
Show classification Show in data acquisition Show in feature explorer
red_9 red_9 15s 13 red, 7 uncertain, 5 blue, 4 green
Show classification Show in data acquisition Show in feature explorer
green_6 green_6 15s 13 green, 7 blue, 7 red, 2 uncertain
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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