Dataset Versions
v4
2024-08-23 8:08am
Generated on Aug 23, 2024
328 Total Images
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Dataset Split
Train Set 89%
291Images
Valid Set 8%
27Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Brightness: Between -10% and +10%
Blur: Up to 0.2px
Noise: Up to 0.1% of pixels