Dataset Versions
v1
2023-02-11 5:45pm
Generated on Feb 11, 2023
4658 Total Images
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Dataset Split
Train Set 90%
4200Images
Valid Set 6%
300Images
Test Set 3%
158Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 227x227
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels