Dataset Versions
v1
2023-11-27 10:34am
Generated on Nov 27, 2023
600 Total Images
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Dataset Split
Train Set 88%
525Images
Valid Set 8%
50Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px