Dataset Versions
Versions
v1
2024-12-10 5:33pm
Generated on Dec 10, 2024
1350 Total Images
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Dataset Split
Train Set 94%
1274Images
Valid Set 4%
51Images
Test Set 2%
25Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -7° and +7°
Saturation: Between -25% and +25%
Brightness: Between -3% and +3%
Blur: Up to 3.5px
Noise: Up to 0.65% of pixels