Dataset Versions
v10
2024-12-09 5:17pm
Generated on Dec 9, 2024
1210 Total Images
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Dataset Split
Train Set 97%
1170Images
Valid Set 2%
19Images
Test Set 2%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 768x768
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -16% and +16%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.41% of pixels