Dataset Versions
v4
v1
Generated on Nov 5, 2024
242 Total Images
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Dataset Split
Train Set 88%
213Images
Valid Set 8%
20Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px