tongtong828 / Avocado_ripeCamera3 Public
Target: Arduino Nicla Vision (Cortex-M7 480MHz) Clone this project

Test data

Set 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.

Apply filters

Sample name Expected outcome Accuracy Result
ready_02 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_09 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_04 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_01 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_03 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_12 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_11 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_10 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_07 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_08 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_06 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
ready_05 ready 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_07 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_08 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_04 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_06 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_05 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_02 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_01 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
unripe_03 unripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_04 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_03 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_02 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_10 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_05 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_11 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_07 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_12 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_06 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_08 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_09 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
overripe_01 overripe 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
Filter yielded no results, click to adjust the filter

Model testing output

Results

Model version:
Accuracy
0.00%

Metrics for Classifier

Metric Value
Area under ROC Curve 0.50
Weighted average Precision 0.14
Weighted average Recall 0.38
Weighted average F1 score 0.20

Confusion matrix

Loading...

Feature explorer

Loading...
Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy