Dataset Versions
v2
2023-10-18 2:24pm
Generated on Oct 18, 2023
972 Total Images
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Dataset Split
Train Set 91%
888Images
Valid Set 6%
56Images
Test Set 3%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%