Dataset Versions
v4
Face_recognition_v3
Generated on Nov 21, 2022
1297 Total Images
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Dataset Split
Train Set 92%
1197Images
Valid Set %
0Images
Test Set 8%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 96x112
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 5 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Applied
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%