Dataset Versions
v2
2024-03-21 11:10pm
Generated on Mar 22, 2024
779 Total Images
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Dataset Split
Train Set 87%
681Images
Valid Set 9%
67Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.12% of pixels