Dataset Versions
v1
2024-10-03 8:34am
Generated on Oct 3, 2024
524 Total Images
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Dataset Split
Train Set 88%
459Images
Valid Set 8%
43Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-100% Vertical Region
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%