Face Recogniztion Dataset

v3

2021-12-25 4:29pm

Generated on Dec 25, 2021

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Dataset Split

Train Set 89%
162Images
Valid Set 7%
13Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -28° and +28°
Shear: ±18° Horizontal, ±26° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -47% and +47%
Brightness: Between -54% and +54%
Noise: Up to 4% of pixels