Dataset Versions
v3
2024-10-18 3:50am
Generated on Oct 18, 2024
692 Total Images
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Dataset Split
Train Set 88%
606Images
Valid Set 8%
58Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x720
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -18° and +18°
Shear: ±12° Horizontal, ±12° Vertical
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.8px
Noise: Up to 1.21% of pixels