Dataset Versions

v1

mm1

Generated on Jul 22, 2023

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%
Mosaic: Applied

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