Dataset Versions
Versions
v2
Augmented - V2
Generated on May 27, 2022
1096 Total Images
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Dataset Split
Train Set 82%
897Images
Valid Set 9%
101Images
Test Set 9%
98Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%