Dataset Versions
v3
2024-09-19 2:53pm
Generated on Sep 19, 2024
830 Total Images
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Dataset Split
Train Set 87%
720Images
Valid Set 9%
71Images
Test Set 5%
39Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%