Dataset Versions
v8
2024-07-30 6:58am
Generated on Jul 30, 2024
722 Total Images
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Dataset Split
Train Set 88%
633Images
Valid Set 8%
60Images
Test Set 4%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
90° Rotate: Applied
Grayscale: Apply to 1% of images
Hue: Between -2° and +2°
Saturation: Between -6% and +6%
Brightness: Between -3% and +3%
Exposure: Between -7% and +7%
Blur: Up to 0.4px