Dataset Versions

v3

2023-09-20 2:37pm

Generated on Sep 20, 2023

Dataset Split

Train Set 88%
3810Images
Valid Set 6%
272Images
Test Set 6%
272Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 1% of pixels
Mosaic: Applied

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