Dataset Versions

v16

2024-08-27 1:10pm

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 Contrast Stretching

Augmentations

Outputs per training example: 3
Grayscale: Apply to 17% of images
Hue: Between -0° and +0°
Saturation: Between -16% and +16%
Brightness: Between -3% and +3%
Exposure: Between -13% and +13%
Blur: Up to 2.9px
Noise: Up to 1.72% of pixels

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