Justin Lutz / Jetson-recomputer-PPE Public
Target: Nvidia Jetson Nano Clone this project

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 F1 score Result
14 ring, watch 100%
Show classification Show in data acquisition
13 ring, watch 100%
Show classification Show in data acquisition
30 watch 100%
Show classification Show in data acquisition
10 ring, watch 100%
Show classification Show in data acquisition
19 ring, watch 66%
Show classification Show in data acquisition
17 watch 66%
Show classification Show in data acquisition
10 ring, watch 100%
Show classification Show in data acquisition
4 watch 100%
Show classification Show in data acquisition
2 ring, watch 80%
Show classification Show in data acquisition
testing.3amemaqq ring, watch 100%
Show classification Show in data acquisition
15 wrist-strap 0%
Show classification Show in data acquisition
14 wrist-strap 0%
Show classification Show in data acquisition
9 ring, wrist-strap 66%
Show classification Show in data acquisition
8 ring, wrist-strap 100%
Show classification Show in data acquisition
5 ring, wrist-strap 100%
Show classification Show in data acquisition
12 ring, wrist-strap 100%
Show classification Show in data acquisition
11 ring, wrist-strap 100%
Show classification Show in data acquisition
6 ring, wrist-strap 100%
Show classification Show in data acquisition
4 wrist-strap 100%
Show classification Show in data acquisition
15 ring, wrist-strap 50%
Show classification Show in data acquisition
9 ring, wrist-strap 100%
Show classification Show in data acquisition
8 ring, wrist-strap 100%
Show classification Show in data acquisition
4 ring, wrist-strap 100%
Show classification Show in data acquisition
11 ring, wrist-strap 100%
Show classification Show in data acquisition
3 ring, wrist-strap 100%
Show classification Show in data acquisition
4 ring, wrist-strap 66%
Show classification Show in data acquisition
9 watch, wrist-strap 100%
Show classification Show in data acquisition
2 watch, wrist-strap 100%
Show classification Show in data acquisition
15 watch, wrist-strap 100%
Show classification Show in data acquisition
14 watch, wrist-strap 100%
Show classification Show in data acquisition
13 watch, wrist-strap 66%
Show classification Show in data acquisition
12 watch, wrist-strap 100%
Show classification Show in data acquisition
7 ring, wrist-strap 100%
Show classification Show in data acquisition
3 ring, watch, wrist-strap 100%
Show classification Show in data acquisition
14 ring, watch, wrist-strap 80%
Show classification Show in data acquisition
12 watch, wrist-strap 50%
Show classification Show in data acquisition
testing.3ag59aff ring, watch 66%
Show classification Show in data acquisition
testing.3ag5620g ring, watch 66%
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
71.05%

Confusion matrix

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Feature explorer

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