Dataset Versions

v1

2024-06-17 10:59am

Generated on Jun 17, 2024

Dataset Split

Train Set 92%
366Images
Valid Set 4%
15Images
Test Set 4%
16Images

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, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -50% and +50%
Exposure: Between -20% and +20%
Noise: Up to 6.99% of pixels

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