Dataset Versions
v4
2024-06-11 7:24pm
Generated on Jun 11, 2024
11940 Total Images
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Dataset Split
Train Set 82%
9800Images
Valid Set 12%
1424Images
Test Set 6%
716Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Noise: Up to 0.22% of pixels