Dataset Versions

v7

2023-08-21 5:16pm

Generated on Aug 21, 2023

Dataset Split

Train Set 88%
582Images
Valid Set 6%
43Images
Test Set 6%
40Images

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°
Brightness: Between -31% and +31%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Noise: Up to 1% of pixels