Dataset Versions
Versions
v1
2024-02-13 9-04pm
Generated on Feb 13, 2024
477 Total Images
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Dataset Split
Train Set 88%
420Images
Valid Set 8%
39Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±13° Horizontal, ±12° Vertical
Saturation: Between -33% and +33%
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 0.6px
Noise: Up to 1.68% of pixels