Dataset Versions
v2
2024-02-20 7:01pm
Generated on Feb 20, 2024
278 Total Images
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Dataset Split
Train Set 86%
240Images
Valid Set 9%
25Images
Test Set 5%
13Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
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 9% of images
Blur: Up to 3.8px