anomali_tespit Dataset

v11

2024-09-17 9:43pm

Generated on Sep 17, 2024

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Dataset Split

Train Set 97%
10365Images
Valid Set 2%
233Images
Test Set 1%
59Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%

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