Dataset Versions
v4
V3
Generated on Aug 29, 2024
3802 Total Images
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Dataset Split
Train Set 82%
3111Images
Valid Set 11%
434Images
Test Set 7%
257Images
Preprocessing
Static Crop: 15-85% Horizontal Region, 5-100% Vertical Region
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.5% of pixels