Dataset Versions
v2
2024-10-03 2:02pm
Generated on Oct 3, 2024
5488 Total Images
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Dataset Split
Train Set 90%
4932Images
Valid Set 7%
384Images
Test Set 3%
172Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -23° and +23°
Saturation: Between -32% and +32%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 1.9px
Noise: Up to 1.64% of pixels