Dataset Versions
v4
2024-11-17 9:12pm
Generated on Nov 17, 2024
1934 Total Images
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Dataset Split
Train Set 88%
1695Images
Valid Set 8%
158Images
Test Set 4%
81Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -26% and +26%
Brightness: Between -16% and +16%
Exposure: Between -10% and +10%
Noise: Up to 0.5% of pixels
Mosaic: Applied