Dataset Versions

v9

2024-10-06 8:52pm

Generated on Oct 6, 2024

Dataset Split

Train Set 92%
2001Images
Valid Set 8%
165Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Hue: Between -3° and +3°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -1% and +1%
Blur: Up to 0.1px
Noise: Up to 0.05% of pixels

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