Dataset Versions
v3
2023-12-22 8:11pm
Generated on Dec 22, 2023
288 Total Images
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Dataset Split
Train Set 88%
252Images
Valid Set 8%
24Images
Test Set 4%
12Images
Preprocessing
Resize: Fit (black edges) in 1280x1280
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 5% of pixels