Dataset Versions
v6
2024-05-14 6:02am
Generated on May 13, 2024
128 Total Images
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Dataset Split
Train Set 87%
111Images
Valid Set 7%
9Images
Test Set 6%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 1px
Noise: Up to 1.05% of pixels