detection Dataset

v1

2023-01-11 8:20am

Generated on Jan 11, 2023

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Dataset Split

Train Set 88%
2592Images
Valid Set 8%
245Images
Test Set 4%
123Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%

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