Dataset Versions

v4

warlus_resize

Generated on Jun 4, 2022

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Dataset Split

Train Set 88%
6720Images
Valid Set 8%
640Images
Test Set 4%
320Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -22° and +22°
Shear: ±23° Horizontal, ±12° Vertical
Brightness: Between -25% and +25%
Noise: Up to 2% of pixels

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