Added model card template.md

README.md

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 license: cc-by-sa-4.0
+language:
+- en
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+# phytoClassUCSC
+
+Sections and prompts from the [model cards paper](https://arxiv.org/abs/1810.03993), v2.
+
+Jump to section:
+
+- [Model details](#model-details)
+- [Intended use](#intended-use)
+- [Factors](#factors)
+- [Metrics](#metrics)
+- [Evaluation data](#evaluation-data)
+- [Training data](#training-data)
+- [Quantitative analyses](#quantitative-analyses)
+- [Ethical considerations](#ethical-considerations)
+- [Caveats and recommendations](#caveats-and-recommendations)
+
+## Model details
+
+Review section 4.1 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+- Developed by the Kudela Lab from the Ocean Sciences Department at University of California, Santa Cruz.
+- Current version trained in February, 2023.
+- phytoClassUCSC-SoftNone02162023
+- phytoClassUCSC is a depthwise- CNN based on the Xception architecture [Chollet, F., 2017](https://arxiv.org/abs/1610.02357) with 134 layers using weights pretrained on ImageNet.
+- An average pooling layer is used.
+- Paper or other resource for more information
+- Citation details
+- License
+- Email Patrick Daniel ([[email protected]]([email protected])) for questions
+
+## Intended use
+
+_Use cases that were envisioned during development._
+
+Review section 4.2 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+### Primary intended uses
+
+### Primary intended users
+
+### Out-of-scope use cases
+
+## Factors
+
+_Factors could include demographic or phenotypic groups, environmental conditions, technical
+attributes, or others listed in Section 4.3._
+
+Review section 4.3 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+### Relevant factors
+
+### Evaluation factors
+
+## Metrics
+
+_The appropriate metrics to feature in a model card depend on the type of model that is being tested.
+For example, classification systems in which the primary output is a class label differ significantly
+from systems whose primary output is a score. In all cases, the reported metrics should be determined
+based on the model’s structure and intended use._
+
+Review section 4.4 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+### Model performance measures
+
+### Decision thresholds
+
+### Approaches to uncertainty and variability
+
+## Evaluation data
+
+_All referenced datasets would ideally point to any set of documents that provide visibility into the
+source and composition of the dataset. Evaluation datasets should include datasets that are publicly
+available for third-party use. These could be existing datasets or new ones provided alongside the model
+card analyses to enable further benchmarking._
+
+Review section 4.5 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+### Datasets
+
+### Motivation
+
+### Preprocessing
+
+## Training data
+
+Review section 4.6 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+## Quantitative analyses
+
+_Quantitative analyses should be disaggregated, that is, broken down by the chosen factors. Quantitative
+analyses should provide the results of evaluating the model according to the chosen metrics, providing
+confidence interval values when possible._
+
+Review section 4.7 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+### Unitary results
+
+### Intersectional result
+
+## Ethical considerations
+
+_This section is intended to demonstrate the ethical considerations that went into model development,
+surfacing ethical challenges and solutions to stakeholders. Ethical analysis does not always lead to
+precise solutions, but the process of ethical contemplation is worthwhile to inform on responsible
+practices and next steps in future work._
+
+Review section 4.8 of the [model cards paper](https://arxiv.org/abs/1810.03993).
+
+### Data
+
+### Human life
+
+### Mitigations
+
+### Risks and harms
+
+### Use cases
+
+## Caveats and recommendations
+
+_This section should list additional concerns that were not covered in the previous sections._
+
+Review section 4.9 of the [model cards paper](https://arxiv.org/abs/1810.03993).