Dataset Versions

v3

2024-07-05 2:10am

Generated on Jul 5, 2024

Dataset Split

Train Set 87%
177Images
Valid Set 9%
18Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Noise: Up to 0.73% of pixels
Cutout: 3 boxes with 10% size each

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