Dataset Versions

v13

2022-11-12 3:07pm

Generated on Nov 12, 2022

Dataset Split

Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images

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, 50% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±30° Horizontal, ±30° Vertical
Saturation: Between -71% and +71%
Noise: Up to 5% of pixels

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