Dataset Versions
v4
2023-09-08 12:45am
Generated on Sep 7, 2023
8057 Total Images
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Dataset Split
Train Set 92%
7404Images
Valid Set 6%
508Images
Test Set 2%
145Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
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 -45° and +45°
Shear: ±31° Horizontal, ±30° Vertical
Cutout: 3 boxes with 10% size each