Dataset Versions
v7
2023-10-25 2:07pm
Generated on Oct 25, 2023
137 Total Images
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Dataset Split
Train Set 88%
120Images
Valid Set 9%
12Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 34% Maximum Zoom
Rotation: Between -31° and +31°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -16% and +16%
Blur: Up to 1.5px
Cutout: 1 boxes with 15% size each
Mosaic: Applied