Dataset Versions

v22

2024-08-27 1:13pm

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
Grayscale: Applied

Augmentations

Outputs per training example: 3
Hue: Between -0° and +0°
Saturation: Between -6% and +6%
Brightness: Between -5% and +5%
Exposure: Between -9% and +9%
Blur: Up to 1.1px
Noise: Up to 0.18% of pixels

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