diplom

illision_v2

Object Detection

illision_v2 Image Dataset

v4

2024-06-02 3:39pm

Generated on Jun 2, 2024

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Dataset Split

Train Set 91%
927Images
Valid Set 9%
90Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Blur: Up to 2.8px
Noise: Up to 1.88% of pixels
Mosaic: Applied
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