Dataset Versions

v1

2024-03-08 9:43pm

Generated on Mar 8, 2024

Dataset Split

Train Set 86%
6Images
Valid Set 14%
1Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -18° and +18°
Shear: ±17° Horizontal, ±18° Vertical
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Cutout: 4 boxes with 15% size each

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