Dataset Versions

v9

2023-06-11 4:32pm

Generated on Jun 11, 2023

Dataset Split

Train Set 88%
1080Images
Valid Set 8%
92Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels

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