Dataset Versions
v2
2023-02-11 2:43pm
Generated on Feb 11, 2023
23559 Total Images
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Dataset Split
Train Set 87%
20607Images
Valid Set 8%
1969Images
Test Set 4%
983Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -35° and +35°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -61% and +61%
Blur: Up to 2px
Noise: Up to 5% of pixels