Dataset Versions
Versions
v1
2024-06-22 1:20pm
Generated on Jun 22, 2024
98 Total Images
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Dataset Split
Train Set 86%
84Images
Valid Set 12%
12Images
Test Set 2%
2Images
Preprocessing
Auto-Orient: Applied
Static Crop: 8-96% Horizontal Region, 6-100% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -6% and +6%
Noise: Up to 2.63% of pixels