Dataset Versions
v2
2024-10-23 7:31am
Generated on Oct 23, 2024
249 Total Images
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Dataset Split
Train Set 88%
218Images
Valid Set 9%
23Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 3% of images
Hue: Between -19° and +19°
Saturation: Between -23% and +23%
Brightness: Between -15% and +15%
Exposure: Between -13% and +13%
Blur: Up to 0.6px