Dataset Versions

v13

2023-09-20 9:17am

Generated on Sep 20, 2023

Dataset Split

Train Set 87%
789Images
Valid Set 6%
56Images
Test Set 7%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -25% and +25%
Brightness: Between 0% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.25px
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between 0% and +10%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 0.25px
Bounding Box: Noise: Up to 1% of pixels