Dataset Versions
v3
2024-06-17 12:29am
Generated on Jun 17, 2024
218 Total Images
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Dataset Split
Train Set 91%
198Images
Valid Set 6%
12Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 66% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Hue: Between -180° and +180°
Saturation: Between -77% and +77%
Brightness: Between -26% and +26%
Exposure: Between -27% and +27%
Noise: Up to 10% of pixels
Cutout: 25 boxes with 10% size each
Mosaic: Applied