Dataset Versions
v1
2024-10-03 11:12am
Generated on Oct 3, 2024
5561 Total Images
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Dataset Split
Train Set 87%
4857Images
Valid Set 8%
469Images
Test Set 4%
235Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±14° Vertical
Brightness: Between -15% and +15%
Blur: Up to 1px