Dataset Versions
v3
2023-11-12 12:17pm
Generated on Nov 12, 2023
292 Total Images
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Dataset Split
Train Set 89%
261Images
Valid Set 7%
21Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -18% and +18%
Blur: Up to 2.5px
Noise: Up to 5% of pixels