aug_deneme2 Dataset

v1

2022-09-19 5-16pm

Generated on Sep 19, 2022

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Dataset Split

Train Set 87%
159Images
Valid Set 8%
15Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -34° and +34°
Grayscale: Apply to 88% of images
Saturation: Between -55% and +55%
Exposure: Between -46% and +46%
Bounding Box: Brightness: Between -69% and +69%

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