Dataset Versions
Versions
v1
2024-09-10 4:07am
Generated on Sep 10, 2024
2284 Total Images
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Dataset Split
Train Set 90%
2061Images
Valid Set 8%
177Images
Test Set 2%
46Images
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, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±17° Horizontal, ±36° Vertical
Brightness: Between -30% and +30%
Exposure: Between -35% and +35%
Blur: Up to 2.4px
Noise: Up to 5.92% of pixels