Dataset Versions
v7
2024-11-03 7:05pm
Generated on Nov 3, 2024
391 Total Images
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Dataset Split
Train Set 87%
339Images
Valid Set 5%
20Images
Test Set 8%
32Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±12° Vertical
Grayscale: Apply to 8% of images
Hue: Between -16° and +16°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 2.9px
Noise: Up to 1.6% of pixels