Dataset Versions
v3
2023-11-24 4:09pm
Generated on Nov 24, 2023
140 Total Images
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Dataset Split
Train Set 86%
120Images
Valid Set 4%
5Images
Test Set 11%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±30° Horizontal, ±29° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 3px
Noise: Up to 5% of pixels