Dataset Versions
v2
helmet-dataset-augmented-v1
Generated on Nov 5, 2024
4910 Total Images
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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