Dataset Versions
v1
2024-11-04 7:41am
Generated on Nov 4, 2024
36 Total Images
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Dataset Split
Train Set 92%
33Images
Valid Set 6%
2Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Grayscale: Apply to 24% of images
Hue: Between -22° and +22°
Saturation: Between -22% and +22%
Brightness: Between -23% and +23%
Exposure: Between -13% and +13%
Blur: Up to 0.4px
Noise: Up to 1.64% of pixels