Face classification Dataset

v4

2023-05-30 11:55am

Generated on May 30, 2023

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Dataset Split

Train Set 87%
786Images
Valid Set 8%
73Images
Test Set 5%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 44% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Saturation: Between -32% and +32%
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 13% size each