Face_mask_detection Dataset

v1

Mask_Det

Generated on Apr 21, 2022

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Dataset Split

Train Set 89%
54Images
Valid Set 7%
4Images
Test Set 5%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -20% and +20%
Blur: Up to 7.25px
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -15% and +15%