segmentation for sealing Dataset

v3

2024-07-01 10:10pm

Generated on Jul 1, 2024

Dataset Split

Train Set 75%
2322Images
Valid Set 13%
387Images
Test Set 13%
387Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels