Dataset Versions
Versions
v1
2023-12-03 5:00pm
Generated on Dec 3, 2023
47 Total Images
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Dataset Split
Train Set 96%
45Images
Valid Set 4%
2Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom