Dataset Versions

v12

2024-08-27 1:07pm

Generated on Aug 27, 2024

Dataset Split

Train Set 91%
21Images
Valid Set 9%
2Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Hue: Between -6° and +6°
Saturation: Between -22% and +22%
Brightness: Between -31% and +31%
Exposure: Between -5% and +5%
Blur: Up to 0px
Noise: Up to 6.99% of pixels

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