Dataset Versions
v5
2024-06-20 1:55pm
Generated on Jun 20, 2024
1392 Total Images
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Dataset Split
Train Set 88%
1230Images
Valid Set 8%
109Images
Test Set 4%
53Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels