Dataset Versions

v1

2024-11-05 5:07am

Generated on Nov 5, 2024

Dataset Split

Train Set 87%
1944Images
Valid Set 8%
185Images
Test Set 4%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -35° and +35°
Shear: ±12° Horizontal, ±10° Vertical
Noise: Up to 2.63% of pixels
Cutout: 4 boxes with 19% size each

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