Dataset Versions
v1
2023-11-23 9:32pm
Generated on Nov 23, 2023
144 Total Images
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Dataset Split
Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels