Edge Impulse Experts / Face detection for AI Bell Public
Target: DFRobot ESP32S3 AI CAM 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 F1 score Result
37627.2u8dhhec face 80%
Show classification Show in data acquisition Show in feature explorer
37691.2u8dhgok face, face 100%
Show classification Show in data acquisition Show in feature explorer
37698.2u8dhg9r face 100%
Show classification Show in data acquisition Show in feature explorer
37702.2u8dhgfh face 100%
Show classification Show in data acquisition Show in feature explorer
37690.2u8dhg52 face 100%
Show classification Show in data acquisition Show in feature explorer
37703.2u8dhfm4 face 100%
Show classification Show in data acquisition Show in feature explorer
37697.2u8dhdv1 face, face 66%
Show classification Show in data acquisition Show in feature explorer
37694.2u8dhd6u face 100%
Show classification Show in data acquisition Show in feature explorer
37672.2u8dhd5q face 100%
Show classification Show in data acquisition Show in feature explorer
37679.2u8dhcf4 face, face 66%
Show classification Show in data acquisition Show in feature explorer
37668.2u8dhc64 face 100%
Show classification Show in data acquisition Show in feature explorer
37689.2u8dhaka face 100%
Show classification Show in data acquisition Show in feature explorer
37683.2u8dh7vd face, face 100%
Show classification Show in data acquisition Show in feature explorer
37678.2u8dh3fs face 100%
Show classification Show in data acquisition Show in feature explorer
37664.2u8dh25k face 100%
Show classification Show in data acquisition Show in feature explorer
37677.2u8dh0sg face, face 100%
Show classification Show in data acquisition Show in feature explorer
37681.2u8dh0r6 face 100%
Show classification Show in data acquisition Show in feature explorer
37671.2u8dh018 face 66%
Show classification Show in data acquisition Show in feature explorer
37653.2u8dgui8 face, face 66%
Show classification Show in data acquisition Show in feature explorer
37655.2u8dgtsg face 100%
Show classification Show in data acquisition Show in feature explorer
37657.2u8dgtoa face 0%
Show classification Show in data acquisition Show in feature explorer
37667.2u8dgtg0 face, face, face, face, face 80%
Show classification Show in data acquisition Show in feature explorer
37663.2u8dgtc6 face, face 100%
Show classification Show in data acquisition Show in feature explorer
37676.2u8dgslu face 100%
Show classification Show in data acquisition Show in feature explorer
37675.2u8dgs7m face 100%
Show classification Show in data acquisition Show in feature explorer
37651.2u8dgqvk face, face, face, face, face 74%
Show classification Show in data acquisition Show in feature explorer
37666.2u8dgp98 face 100%
Show classification Show in data acquisition Show in feature explorer
37662.2u8dgou5 face 100%
Show classification Show in data acquisition Show in feature explorer
37665.2u8dgosu face 100%
Show classification Show in data acquisition Show in feature explorer
37646.2u8dgocj face 100%
Show classification Show in data acquisition Show in feature explorer
37658.2u8dglhg face 100%
Show classification Show in data acquisition Show in feature explorer
37661.2u8dgk9p face 100%
Show classification Show in data acquisition Show in feature explorer
37654.2u8dgj3k face 100%
Show classification Show in data acquisition Show in feature explorer
37605.2u8dgih3 face, face, face 50%
Show classification Show in data acquisition Show in feature explorer
37644.2u8dggqr face, face 66%
Show classification Show in data acquisition Show in feature explorer
37656.2u8dggpf face 100%
Show classification Show in data acquisition Show in feature explorer
37622.2u8dgeqk face 100%
Show classification Show in data acquisition Show in feature explorer
37639.2u8dge42 face 100%
Show classification Show in data acquisition Show in feature explorer
37647.2u8dge07 face 100%
Show classification Show in data acquisition Show in feature explorer
37652.2u8dgd4d face 100%
Show classification Show in data acquisition Show in feature explorer
37628.2u8dgbfu face 50%
Show classification Show in data acquisition Show in feature explorer
37640.2u8dga41 face, face, face 85%
Show classification Show in data acquisition Show in feature explorer
37633.2u8dg7sv face 100%
Show classification Show in data acquisition Show in feature explorer
37621.2u8dg6t6 face 100%
Show classification Show in data acquisition Show in feature explorer
37636.2u8dg6r1 face 100%
Show classification Show in data acquisition Show in feature explorer
37624.2u8dg6c7 face 100%
Show classification Show in data acquisition Show in feature explorer
37609.2u8dg0hl face, face 66%
Show classification Show in data acquisition Show in feature explorer
37604.2u8dg07r face, face 50%
Show classification Show in data acquisition Show in feature explorer
37623.2u8dg01t face 0%
Show classification Show in data acquisition Show in feature explorer
37612.2u8dfvr0 face 100%
Show classification Show in data acquisition Show in feature explorer
37619.2u8dftjk face, face 50%
Show classification Show in data acquisition Show in feature explorer
37603.2u8dft0u face 100%
Show classification Show in data acquisition Show in feature explorer
37615.2u8dfsdv face, face, face 80%
Show classification Show in data acquisition Show in feature explorer
37616.2u8dfrpc face 100%
Show classification Show in data acquisition Show in feature explorer
37572.2u8dfqph face 100%
Show classification Show in data acquisition Show in feature explorer
37606.2u8dfoqp face 100%
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
76.79%

Metrics for Object detection

Metric Value
Precision (non-background) 0.92
Recall (non-background) 0.81
F1 Score (non-background) 0.86

Confusion matrix

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Feature explorer

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