Dataset Versions
v4
2024-07-07 2:38pm
Generated on Jul 7, 2024
8872 Total Images
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Dataset Split
Train Set 84%
7458Images
Valid Set 12%
1090Images
Test Set 4%
324Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
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