SingleN Dataset

v4

2024-02-29 1:58am

Generated on Feb 28, 2024

Dataset Split

Train Set 88%
513Images
Valid Set 9%
52Images
Test Set 3%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -31% and +31%
Brightness: Between -16% and +16%
Exposure: Between -13% and +13%
Blur: Up to 2.5px
Noise: Up to 0.22% of pixels

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