Dataset Versions
v2
dry_augment
Generated on Oct 19, 2023
77 Total Images
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Dataset Split
Train Set 90%
69Images
Valid Set 6%
5Images
Test Set 4%
3Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter by Tag: 1 required, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Noise: Up to 5% of pixels
Mosaic: Applied