Dataset Versions
v1
2024-05-03 2:00pm
Generated on May 3, 2024
620 Total Images
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Dataset Split
Train Set 88%
543Images
Valid Set 8%
51Images
Test Set 4%
26Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Blur: Up to 2px
Noise: Up to 0.54% of pixels