Face Detection Dataset

v18

YOLOv8

Generated on Jan 10, 2023

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Dataset Split

Train Set 87%
2871Images
Valid Set 8%
267Images
Test Set 4%
145Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Cutout: 5 boxes with 2% size each

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