Tugas Akhir Dataset

v9

2024-06-22 7:16am

Generated on Jun 22, 2024

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Dataset Split

Train Set 85%
1980Images
Valid Set 10%
237Images
Test Set 5%
115Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels