Dataset Versions
Versions
v1
2024-12-24 3:07pm
Generated on Dec 24, 2024
809 Total Images
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Dataset Split
Train Set 89%
720Images
Valid Set 9%
72Images
Test Set 2%
17Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -29% and +29%
Brightness: Between -25% and +25%
Exposure: Between -7% and +7%
Noise: Up to 0.18% of pixels