Edge Impulse Experts / Adiuvo_BrainChip_Anomaly Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set thresholds
Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model Test 'Quantized (akida)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
Abnomal_ToyCar.case4_ab36_0001 Abnomal_ToyCar 11s 84% 16 Abnomal_ToyCar, 2 ToyCar, 1 uncertain
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Abnomal_ToyCar.case4_ab34_0004 Abnomal_ToyCar 11s 89% 17 Abnomal_ToyCar, 1 ToyCar, 1 uncertain
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Abnomal_ToyCar.case4_ab33_0004 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab32_0004 Abnomal_ToyCar 11s 95% 18 Abnomal_ToyCar, 1 uncertain
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Abnomal_ToyCar.case4_ab31_0005 Abnomal_ToyCar 11s 95% 18 Abnomal_ToyCar, 1 uncertain
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Abnomal_ToyCar.case4_ab30_0005 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab29_0005 Abnomal_ToyCar 11s 89% 17 Abnomal_ToyCar, 2 uncertain
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Abnomal_ToyCar.case4_ab29_0001 Abnomal_ToyCar 11s 95% 18 Abnomal_ToyCar, 1 uncertain
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Abnomal_ToyCar.case4_ab28_0002 Abnomal_ToyCar 11s 89% 17 Abnomal_ToyCar, 2 uncertain
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Abnomal_ToyCar.case4_ab26_0005 Abnomal_ToyCar 11s 16% 15 ToyCar, 3 Abnomal_ToyCar, 1 uncertain
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Abnomal_ToyCar.case4_ab25_0005 Abnomal_ToyCar 11s 95% 18 Abnomal_ToyCar, 1 uncertain
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Abnomal_ToyCar.case4_ab25_0002 Abnomal_ToyCar 11s 95% 18 Abnomal_ToyCar, 1 ToyCar
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Abnomal_ToyCar.case4_ab24_0001 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab22_0005 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab22_0001 Abnomal_ToyCar 11s 0% 19 ToyCar
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Abnomal_ToyCar.case4_ab21_0002 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab19_0005 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab19_0001 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab18_0001 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab17_0003 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Abnomal_ToyCar.case4_ab15_0004 Abnomal_ToyCar 11s 100% 19 Abnomal_ToyCar
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Model testing output

Results

Model version:
Accuracy
97.14%

Confusion matrix

Abnomal_ToyCarToyCaruncertain
Abnomal_ToyCar82.7%12.5%4.8%
ToyCar0.0%100.0%0.0%
f1 score0.900.99

Feature explorer

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