Dataset Versions
Versions
v1
2024-07-18 5:02am
Generated on Jul 18, 2024
431 Total Images
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Dataset Split
Train Set 89%
384Images
Valid Set 7%
30Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±12° Horizontal, ±14° Vertical
Grayscale: Apply to 18% of images
Hue: Between -19° and +19°
Saturation: Between -24% and +24%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 0.69% of pixels