Table 3. Trained model results on the original images from the dataset and the images where different filtering techniques were applied and hair was removed.
Metrics | Filtering technique combined with hair removal | ||||
---|---|---|---|---|---|
None | Fourier | Wavelet | Average blur | Low-pass | |
Accuracy (AC) | 91.10% | 90.90% | 91.30% | 90.80% | 90.00% |
Recall (SE) | 87.60% | 88.20% | 87.00% | 87.40% | 89.80% |
Precision (PR) | 94.19% | 93.23% | 95.19% | 93.78% | 90.16% |
F1 score (F1 sc) | 90.78% | 90.65% | 90.91% | 90.48% | 89.98% |