Dataset Versions
v3
2024-11-04 3:49am
Generated on Nov 4, 2024
3851 Total Images
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Dataset Split
Train Set 90%
3474Images
Valid Set 6%
226Images
Test Set 4%
151Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±0° Horizontal, ±45° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -9% and +9%
Noise: Up to 2.59% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 40% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Blur: Up to 3.3px