Dataset Versions
v4
2024-06-09 7:49pm
Generated on Jun 9, 2024
351 Total Images
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Dataset Split
Train Set 87%
306Images
Valid Set 9%
30Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -21% and +21%
Exposure: Between -12% and +12%
Blur: Up to 2.1px
Noise: Up to 1.76% of pixels