Dataset Versions
v3
2024-04-15 2:38pm
Generated on Apr 15, 2024
1034 Total Images
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Dataset Split
Train Set 87%
903Images
Valid Set 9%
88Images
Test Set 4%
43Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 6% of images
Blur: Up to 2.5px
Noise: Up to 0.43% of pixels