Dataset Versions
v4
2024-05-21 11:01pm
Generated on May 22, 2024
12828 Total Images
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Dataset Split
Train Set 87%
11220Images
Valid Set 8%
1073Images
Test Set 4%
535Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x800
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%