Dataset Versions
v4
2023-04-28 5:47am
Generated on Apr 28, 2023
738 Total Images
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Dataset Split
Train Set 91%
675Images
Valid Set 6%
45Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%