Cyril Chan

*NEW* MAPUA CPE THESIS

Object Detection

*NEW* MAPUA CPE THESIS Image Dataset

v6

for YOLOv4

Generated on Feb 14, 2022

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Dataset Split

Train Set 70%
2253Images
Valid Set 20%
633Images
Test Set 10%
331Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 5px
Noise: Up to 5% of pixels