Dataset Versions

v1

2024-03-26 9:01pm

Generated on Mar 26, 2024

Dataset Split

Train Set 92%
8325Images
Valid Set 4%
345Images
Test Set 4%
348Images

Preprocessing

Auto-Orient: Applied
Static Crop: 13-88% Horizontal Region, 17-100% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°
Shear: ±10° Horizontal, ±14° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 1.1px
Noise: Up to 0.38% of pixels

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