Dataset Versions
v1
2023-09-22 9:35am
Generated on Sep 22, 2023
28 Total Images
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Dataset Split
Train Set 86%
24Images
Valid Set 11%
3Images
Test Set 4%
1Images
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, 99% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Saturation: Between -83% and +83%
Brightness: Between -51% and +51%
Exposure: Between -46% and +46%
Blur: Up to 12.25px