Dataset Versions
v5
Version 2 - Augmentation
Generated on Oct 9, 2023
2789 Total Images
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Dataset Split
Train Set 92%
2574Images
Valid Set 4%
107Images
Test Set 4%
108Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 720x576
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 99% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Saturation: Between -99% and +99%
Brightness: Between -99% and +99%
Exposure: Between -99% and +99%
Blur: Up to 25px
Noise: Up to 25% of pixels