Dataset Versions
v4
2023-12-04 6:42pm
Generated on Dec 4, 2023
689 Total Images
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Dataset Split
Train Set 87%
600Images
Valid Set 9%
61Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 65x900
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -27% and +27%
Blur: Up to 2.25px
Noise: Up to 9% of pixels
Mosaic: Applied