Dataset Versions
v4
v1
Generated on Jan 31, 2024
1829 Total Images
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Dataset Split
Train Set 89%
1626Images
Valid Set 7%
130Images
Test Set 4%
73Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±12° Horizontal, ±8° Vertical
Saturation: Between -33% and +33%
Brightness: Between -9% and +9%
Exposure: Between -12% and +12%
Noise: Up to 1.06% of pixels