Dataset Versions

v2

2024-03-23 2:14am

Generated on Mar 22, 2024

Dataset Split

Train Set 92%
114Images
Valid Set 4%
5Images
Test Set 4%
5Images

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 -10° and +10°
Shear: ±12° Horizontal, ±8° Vertical
Grayscale: Apply to 19% of images
Blur: Up to 0.8px
Noise: Up to 1.76% of pixels

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