v3

2024-03-10 8:48pm

Generated on Mar 10, 2024

Dataset Split

Train Set 85%
10230Images
Valid Set 7%
783Images
Test Set 8%
961Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%

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