Dataset Versions
v3
2024-08-30 7:45am
Generated on Aug 30, 2024
188 Total Images
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Dataset Split
Train Set 88%
165Images
Valid Set 8%
15Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-79% Horizontal Region, 0-76% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Exposure: Between -15% and +15%