Dataset Versions

v1

2024-07-19 12:29pm

Generated on Jul 19, 2024

Dataset Split

Train Set 89%
2928Images
Valid Set 8%
250Images
Test Set 4%
125Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°
Shear: ±11° Horizontal, ±11° Vertical
Grayscale: Apply to 20% of images
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.2px

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