Update README.md

README.md

@@ -38,115 +38,25 @@ The dataset was created under the research project of Grant Agency of Czech Repu
 ### Training Procedure
 
 The training was done using Pytorch library, where CrossEntropyLoss() together with AdamW optimizer function. The training was done 
-#### Preprocessing [optional]
 
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+### Results & Metrics
 
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-#### Training Hyperparameters
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-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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-#### Speeds, Sizes, Times [optional]
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-## Evaluation
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-### Testing Data, Factors & Metrics
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-#### Testing Data
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-#### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-#### Metrics
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-### Results
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-#### Summary
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-## Model Examination [optional]
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-## Environmental Impact
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-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-- **Hardware Type:** [More Information Needed]
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-## Technical Specifications [optional]
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-### Model Architecture and Objective
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-### Compute Infrastructure
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+The overall accuracy of training for all classes reaches 99%, the mean intersection of union reaches 70%.
 
 #### Hardware
 
-[More Information Needed]
+The training was done using NVIDIA Quadro P4000.
 
 #### Software
 
-[More Information Needed]
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-## Citation [optional]
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-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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-**BibTeX:**
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-**APA:**
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-## Glossary [optional]
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-## More Information [optional]
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+The models were trained using Pytorch in Python, the segmentation and dataset preparation was done using LabKit plugin in software FIJI.
 
 ## Model Card Authors [optional]
 
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+Richard Dvorak, Brno University of Technology, Faculty of Civil Engineering, Institute of building testing
+Vlastimil Bilek, Brno University of Technology, Faculty of Chemistry, Institute of material chemistry
+Barbara Kucharczyková, Brno University of Technology, Faculty of Civil Engineering, Institute of building testing
 
 ## Model Card Contact
 
-[More Information Needed]
+The author of the dataset is Richard Dvorak Ph.D., [email protected], tel.: +420 777 678 613, employee of Brno University Of Technology of the Faculty of Civil Engineering, institute of building testing.