Dataset Versions
v6
WithShear
Generated on Dec 7, 2023
4069 Total Images
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Dataset Split
Train Set 92%
3747Images
Valid Set 5%
186Images
Test Set 3%
136Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -50% and +50%
Exposure: Between -13% and +13%
Noise: Up to 1% of pixels
Cutout: 4 boxes with 13% size each