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

Model testing output

Results

Model version:
Accuracy
87.50%

Confusion matrix

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Feature explorer

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