base_detection Dataset

v4

2024-04-16 5:36pm

Generated on Apr 16, 2024

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Dataset Split

Train Set 81%
902Images
Valid Set 10%
111Images
Test Set 9%
104Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -4° and +4°
Shear: ±4° Horizontal, ±0° Vertical
Saturation: Between -6% and +6%
Brightness: Between -21% and +21%
Exposure: Between -15% and +15%
Blur: Up to 2px

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