Dataset Versions
v3
2024-03-18 4:00am
Generated on Mar 18, 2024
75194 Total Images
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Dataset Split
Train Set 94%
70861Images
Valid Set 4%
2888Images
Test Set 2%
1445Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -22° and +22°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Noise: Up to 0.54% of pixels