Dataset Versions
v3
2024-07-18 5:29am
Generated on Jul 18, 2024
5395 Total Images
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Dataset Split
Train Set 87%
4713Images
Valid Set 8%
456Images
Test Set 4%
226Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
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%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels