Dataset Versions
Versions
v1
2023-12-05 11:00am
Generated on Dec 5, 2023
744 Total Images
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Dataset Split
Train Set 88%
651Images
Valid Set 8%
62Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±26° Horizontal, ±35° Vertical
Saturation: Between -88% and +88%
Exposure: Between -39% and +39%
Noise: Up to 5% of pixels
Cutout: 9 boxes with 6% size each