Dataset Versions
v2
2024-06-12 9:12pm
Generated on Jun 12, 2024
23738 Total Images
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Dataset Split
Train Set 88%
20772Images
Valid Set 8%
1975Images
Test Set 4%
991Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px