Dataset Versions

v2

helmet-dataset-augmented-v1

Generated on Nov 5, 2024

Dataset Split

Train Set 82%
4048Images
Valid Set 12%
575Images
Test Set 6%
287Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Hue: Between -15° and +15°
Noise: Up to 0.1% of pixels