Dataset Versions
v3
2023-11-06 8:31pm
Generated on Nov 6, 2023
3304 Total Images
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Dataset Split
Train Set 88%
2892Images
Valid Set 8%
275Images
Test Set 4%
137Images
Preprocessing
Auto-Orient: Applied
Static Crop: 21-72% Horizontal Region, 36-69% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -29° and +29°
Shear: ±6° Horizontal, ±25° Vertical
Saturation: Between -47% and +47%
Brightness: Between -21% and +21%
Noise: Up to 6% of pixels