Edge Impulse Experts / TI LAUNCHXL Getting Started Public
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Test data

Set confidence thresholds
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.
Sample name Expected outcome Length Accuracy Result
up_down.42idmju7 up_down 10s 100% 41 up_down
Show classification Show in data acquisition
stationary.42idgml2 stationary 10s 100% 41 stationary
Show classification Show in data acquisition
circle.42id78im circle 10s 100% 41 circle
Show classification Show in data acquisition
side_to_side.42id2p54 side_to_side 10s 100% 41 side_to_side
Show classification Show in data acquisition
stationary.42idh56r stationary 10s 100% 41 stationary
Show classification Show in data acquisition
circle.42id5dgn circle 10s 100% 41 circle
Show classification Show in data acquisition
side_to_side.42id1b9i side_to_side 10s 100% 41 side_to_side
Show classification Show in data acquisition
up_down.42icv9ed up_down 10s 100% 41 up_down
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
100.00%

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