Improving Semantic Segmentation - U-Net Performance via Ensemble of Multiple Trained Networks

Improving Semantic Segmentation - U-Net Performance via Ensemble of Multiple Trained Networks

DigitalSreeni via YouTube Direct link

Compile model

7 of 18

7 of 18

Compile model

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Improving Semantic Segmentation - U-Net Performance via Ensemble of Multiple Trained Networks

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  1. 1 Introduction
  2. 2 Prerequisites
  3. 3 Converting labels
  4. 4 Expanding mask dimensions
  5. 5 Multiclass semantic segmentation
  6. 6 Defining models
  7. 7 Compile model
  8. 8 Save model
  9. 9 Load model
  10. 10 Variable Explorer
  11. 11 Preprocessing
  12. 12 Weighted ensemble
  13. 13 Weighted ensemble prediction
  14. 14 Results
  15. 15 Combining results
  16. 16 Nested loop
  17. 17 Ensemble prediction
  18. 18 Data analysis

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