Dataset Versions
v1
2023-11-14 11:53am
Generated on Nov 14, 2023
479 Total Images
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Dataset Split
Train Set 88%
420Images
Valid Set 8%
39Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black 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
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 5% of pixels