Dataset Versions
v2
2023-12-15 10:43am
Generated on Dec 15, 2023
216 Total Images
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Dataset Split
Train Set 88%
189Images
Valid Set 8%
18Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -35° and +35°
Shear: ±16° Horizontal, ±21° Vertical
Blur: Up to 1.75px
Noise: Up to 3% of pixels