Dataset Versions
v1
Dummy-Augm-662
Generated on Aug 14, 2022
662 Total Images
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Dataset Split
Train Set 87%
579Images
Valid Set 8%
55Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%