Dataset Versions

v9

2024-08-30 1:40am

Generated on Aug 30, 2024

Dataset Split

Train Set 89%
1244Images
Valid Set 4%
62Images
Test Set 6%
84Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Blur: Up to 2px
Noise: Up to 1% of pixels

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