Dataset Versions
v4
2024-03-21 1:18pm
Generated on Mar 21, 2024
939 Total Images
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Dataset Split
Train Set 96%
906Images
Valid Set 4%
33Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -17° and +17°
Noise: Up to 0.85% of pixels