Dataset Versions
v3
2024-01-08 7:27pm
Generated on Jan 8, 2024
144 Total Images
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Dataset Split
Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images
Preprocessing
Resize: Fit (black edges) in 1280x1280
Modify Classes: 0 remapped, 4 dropped
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 -10% and +10%
Blur: Up to 1px
Noise: Up to 1.99% of pixels