Dataset Versions
Versions
v1
2023-06-01 5:13pm
Generated on Jun 1, 2023
111 Total Images
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Dataset Split
Train Set 86%
96Images
Valid Set 8%
9Images
Test Set 5%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
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 -19° and +19°
Shear: ±26° Horizontal, ±28° Vertical
Brightness: Between 0% and +12%