Dataset Versions
v1
2024-03-06 2:18am
Generated on Mar 5, 2024
2040 Total Images
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Dataset Split
Train Set 92%
1872Images
Valid Set 6%
128Images
Test Set 2%
40Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 19% of images
Saturation: Between -19% and +19%
Brightness: Between -22% and +22%
Exposure: Between -13% and +13%
Blur: Up to 1.2px