masonry Dataset

v1

masonry-v1

Generated on Oct 24, 2024

Dataset Split

Train Set 91%
3000Images
Valid Set 5%
150Images
Test Set 5%
150Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Noise: Up to 0.1% of pixels

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