Dataset Versions
Versions
v3
2024-02-23 10:43am
Generated on Feb 23, 2024
4848 Total Images
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Dataset Split
Train Set 86%
4152Images
Valid Set 10%
464Images
Test Set 5%
232Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels