Dataset Versions
v1
2023-04-10 10:46pm
Generated on Apr 10, 2023
300 Total Images
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Dataset Split
Train Set 87%
261Images
Valid Set 8%
24Images
Test Set 5%
15Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -31° and +31°
Saturation: Between -44% and +44%
Brightness: Between 0% and +44%
Noise: Up to 1% of pixels
Cutout: 4 boxes with 3% size each
Mosaic: Applied