Dataset Versions

v1

2024-01-24 11:41am

Generated on Jan 24, 2024

Dataset Split

Train Set 91%
7845Images
Valid Set 6%
481Images
Test Set 4%
342Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -16° and +16°
Shear: ±14° Horizontal, ±16° Vertical
Grayscale: Apply to 100% of images
Hue: Between -120° and +120°
Brightness: Between -68% and +68%
Blur: Up to 3.3px
Noise: Up to 4.77% of pixels
Mosaic: Applied

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