Dataset Versions

v1

2024-09-26 12:40pm

Generated on Sep 26, 2024

Dataset Split

Train Set 88%
3198Images
Valid Set 8%
303Images
Test Set 4%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px

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