Dataset Versions
v8
2024-11-15 1:59pm
Generated on Nov 15, 2024
4116 Total Images
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Dataset Split
Train Set 98%
4023Images
Valid Set 2%
87Images
Test Set 0%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±7° Horizontal, ±14° Vertical
Saturation: Between -32% and +32%
Brightness: Between -11% and +11%
Exposure: Between -14% and +14%
Blur: Up to 1.4px
Noise: Up to 1.49% of pixels