Dataset Versions
Versions
v1
2023-06-12 2:15pm
Generated on Jun 12, 2023
749 Total Images
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Dataset Split
Train Set 87%
654Images
Valid Set 8%
63Images
Test Set 4%
32Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 244x244
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 -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -35° and +35°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -28% and +28%
Blur: Up to 1px