Dataset Versions
Versions
v5
2024-10-19 7:52pm
Generated on Oct 19, 2024
138 Total Images
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Dataset Split
Train Set 85%
117Images
Valid Set 9%
12Images
Test Set 7%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.5px