Dataset Versions

v1

2024-09-10 3:53am

Generated on Sep 10, 2024

Dataset Split

Train Set 87%
1902Images
Valid Set 6%
138Images
Test Set 6%
138Images

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, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -18° and +18°
Saturation: Between -33% and +33%
Brightness: Between -20% and +20%
Exposure: Between -14% and +14%
Blur: Up to 4.6px
Noise: Up to 1.68% of pixels

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