Dataset Versions
v4
2024-10-16 2:00am
Generated on Oct 16, 2024
669 Total Images
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Dataset Split
Train Set 100%
669Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Hue: Between -76° and +76°
Saturation: Between -33% and +33%
Brightness: Between -49% and +49%
Exposure: Between -50% and +50%
Blur: Up to 2.1px
Noise: Up to 3.03% of pixels