Dataset Versions

v10

2024-01-18 3:46pm

Generated on Jan 18, 2024

Dataset Split

Train Set 89%
324Images
Valid Set 7%
27Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%

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