projectskripsi

skripsi2

Object Detection

skripsi2 Image Dataset

v5

resized640_aug3x

Generated on Dec 14, 2022

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Dataset Split

Train Set 88%
2217Images
Valid Set 10%
263Images
Test Set 2%
53Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Cutout: 5 boxes with 5% size each