Dataset Versions
v2
2023-11-29 2:21am
Generated on Nov 28, 2023
367 Total Images
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Dataset Split
Train Set 87%
318Images
Valid Set 9%
34Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
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