Dataset Versions
Versions
v1
2024-06-28 5:31am
Generated on Jun 28, 2024
30202 Total Images
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Dataset Split
Train Set 97%
29175Images
Valid Set 3%
819Images
Test Set 1%
208Images
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, 30% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -16% and +16%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 1.25% of pixels