Dataset Versions

v1

2023-09-24 2:51am

Generated on Sep 23, 2023

Dataset Split

Train Set 87%
20937Images
Valid Set 8%
1997Images
Test Set 4%
999Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Noise: Up to 5% of pixels
Cutout: 7 boxes with 12% size each

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