Dataset Versions

v4

2022-12-31 6:58pm

Generated on Dec 31, 2022

Dataset Split

Train Set 82%
5376Images
Valid Set 12%
769Images
Test Set 6%
384Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 2
Rotation: Between -10° and +10°
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -7° and +7°
Saturation: Between -17% and +17%
Brightness: Between -21% and +21%
Exposure: Between -12% and +12%
Noise: Up to 5% of pixels

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