Dataset Versions
v3
2024-06-25 4:41pm
Generated on Jun 25, 2024
333 Total Images
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Dataset Split
Train Set 87%
291Images
Valid Set 8%
28Images
Test Set 4%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 52% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -180° and +180°
Brightness: Between -60% and +60%
Exposure: Between -46% and +46%
Blur: Up to 2.6px