Dataset Versions
v5
2024-10-26 1:50am
Generated on Oct 26, 2024
798 Total Images
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Dataset Split
Train Set 86%
690Images
Valid Set 8%
62Images
Test Set 6%
46Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1000x800
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.26% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 0.1% of pixels