Kutluhan Aktar / Dental Model Classifier Public
Target: Cortex-M4F 80MHz 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 F1 score Result
2_D_2022.06.29__18.49.05 implant 0%
Show classification Show in data acquisition Show in feature explorer
0_D_2022.06.29__18.33.35 cast 100%
Show classification Show in data acquisition Show in feature explorer
0_D_2022.06.29__18.33.05 cast 100%
Show classification Show in data acquisition Show in feature explorer
0_D_2022.06.29__18.34.05 cast 100%
Show classification Show in data acquisition Show in feature explorer
1_D_2022.06.29__18.11.05 failed 100%
Show classification Show in data acquisition Show in feature explorer
0_D_2022.06.29__18.34.35 cast 100%
Show classification Show in data acquisition Show in feature explorer
0_D_2022.06.29__18.32.05 cast 100%
Show classification Show in data acquisition Show in feature explorer
0_D_2022.06.29__18.32.35 cast 100%
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
87.50%

Confusion matrix

Loading...

Feature explorer

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