Dataset Versions
v6
full options 2023-03-01
Generated on Feb 28, 2023
2835 Total Images
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Dataset Split
Train Set 88%
2481Images
Valid Set 8%
236Images
Test Set 4%
118Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -20% and +20%
Exposure: Between -27% and +27%
Blur: Up to 1px
Noise: Up to 5% of pixels