Dataset Versions
v3
2023-07-04 10:07am
Generated on Jul 4, 2023
9428 Total Images
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Dataset Split
Train Set 87%
8166Images
Valid Set 7%
700Images
Test Set 6%
562Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 8 rows x 8 columns
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Brightness: Between -25% and +25%
Blur: Up to 1.5px