Dataset Versions
v4
2022-10-07 1:14am
Generated on Oct 6, 2022
1920 Total Images
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Dataset Split
Train Set 88%
1680Images
Valid Set 8%
160Images
Test Set 4%
80Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 10px