Dataset Versions
v3
2024-11-27 12:36pm
Generated on Nov 27, 2024
3772 Total Images
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Dataset Split
Train Set 87%
3300Images
Valid Set 6%
238Images
Test Set 6%
234Images
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, 23% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels