Dataset Versions
v3
2024-02-20 9:40pm
Generated on Feb 20, 2024
266 Total Images
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Dataset Split
Train Set 78%
207Images
Valid Set 16%
43Images
Test Set 6%
16Images
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: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 13% of images
Blur: Up to 3.8px