Dataset Versions
v3
2022-12-06 8:30pm
Generated on Dec 6, 2022
246 Total Images
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Dataset Split
Train Set 88%
216Images
Valid Set 6%
14Images
Test Set 7%
16Images
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, 40% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%