Dataset Versions

v9

2024-10-06 1:31pm

Generated on Oct 6, 2024

Dataset Split

Train Set 94%
231Images
Valid Set 4%
9Images
Test Set 2%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 400x350
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -20° and +20°
Exposure: Between -10% and +10%
Noise: Up to 0.46% of pixels

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