Dataset Versions
Versions
v1
2023-02-21 3:48pm
Generated on Feb 21, 2023
42 Total Images
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Dataset Split
Train Set 86%
36Images
Valid Set 10%
4Images
Test Set 5%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±20° Horizontal, ±26° Vertical
Grayscale: Apply to 28% of images
Hue: Between -50° and +50°
Brightness: Between -35% and +35%
Blur: Up to 10.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each