Universitas AMIKOM Yogyakarta

CV

Object Detection

CV Image Dataset

v2

2022-12-13 3:05am

Generated on Dec 12, 2022

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Dataset Split

Train Set 87%
1548Images
Valid Set 7%
116Images
Test Set 6%
115Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±9° Vertical
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -10° and +10°