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README.md
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@@ -214,15 +214,15 @@ pipenv run python3 train_model.py
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#### Preprocessing
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- Manual image preprocessing is not necessary. Some versions of the code do however contrast enhance the images internally (see [Citation](#
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#### Training Hyperparameters
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- See [Citation](#
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## Evaluation
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- See [Citation](#
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Data Card if possible. -->
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- See [Citation](#
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#### Factors
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- See [Citation](#
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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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- See [Citation](#
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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### Results
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- See [Citation](#
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#### Summary
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### Model Architecture and Objective
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- See [Citation](#
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### Compute Infrastructure
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#### Preprocessing
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- Manual image preprocessing is not necessary. Some versions of the code do however contrast enhance the images internally (see [Citation](#citation))
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#### Training Hyperparameters
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- See [Citation](#citation)/source code.
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## Evaluation
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- See [Citation](#citation)
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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| 231 |
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<!-- This should link to a Data Card if possible. -->
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| 233 |
+
- See [Citation](#citation)
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#### Factors
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- See [Citation](#citation)
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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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- See [Citation](#citation)
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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### Results
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- See [Citation](#citation)
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#### Summary
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### Model Architecture and Objective
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| 274 |
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- See [Citation](#citation)
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### Compute Infrastructure
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| 278 |
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