Dataset Versions
v1
2024-08-13 1:41am
Generated on Aug 13, 2024
133 Total Images
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Dataset Split
Train Set 92%
123Images
Valid Set 8%
10Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Exposure: Between -10% and +10%
Noise: Up to 0.18% of pixels