Dataset Versions
v3
2024-03-28 9:43am
Generated on Mar 28, 2024
286 Total Images
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Dataset Split
Train Set 88%
252Images
Valid Set 8%
23Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%