Dataset Versions

v6

all train

Generated on Jun 1, 2022

Dataset Split

Train Set 100%
996Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 1000x1000

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -33% and +33%
Brightness: Between 0% and +1%
Exposure: Between -10% and +10%
Blur: Up to 1px