v3

2023-08-07 8:46pm

Generated on Aug 7, 2023

Dataset Split

Train Set 81%
1458Images
Valid Set 11%
207Images
Test Set 8%
144Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-82% Horizontal Region, 12-90% Vertical Region
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 10% of pixels

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