Dataset Versions
v2
2024-11-18 3:00pm
Generated on Nov 18, 2024
901 Total Images
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Dataset Split
Train Set 92%
830Images
Valid Set 5%
47Images
Test Set 3%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 224x224
Grayscale: Applied
Augmentations
Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels