Dataset Versions
v2
2024-11-04 2:02pm
Generated on Nov 4, 2024
59 Total Images
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Dataset Split
Train Set 86%
51Images
Valid Set 12%
7Images
Test Set 2%
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