Dataset Versions
v2
2023-07-22 5:36pm
Generated on Jul 22, 2023
550 Total Images
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Dataset Split
Train Set 87%
480Images
Valid Set 9%
48Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 420x420
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%