Road Sign Detection Dataset

v5

2023-04-16 5:04pm

Generated on Apr 16, 2023

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Dataset Split

Train Set 85%
231Images
Valid Set 10%
27Images
Test Set 5%
15Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-92% Horizontal Region, 1-95% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 1
Rotation: Between -12° and +12°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Brightness: Between -20% and +20%