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README.md
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- **Model type:** Image classification /feature backbone
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- **Finetuned from model:** https://huggingface.co/timm/tf_efficientnet_b3.ns_jft_in1k
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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{{ direct_use | default("[More Information Needed]", true)}}
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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{{ downstream_use | default("[More Information Needed]", true)}}
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}
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## How to Get Started with the Model
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Use the code below to get started with the model.
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## Training Details
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### Training Data
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<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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{{ preprocessing | default("[More Information Needed]", true)}}
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#### Training Hyperparameters
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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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{{ testing_data | default("[More Information Needed]", true)}}
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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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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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{{ testing_metrics | default("[More Information Needed]", true)}}
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### Results
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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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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{{ citation_apa | default("[More Information Needed]", true)}}
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## More Information
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## Model Card Authors
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## Model Card Contact
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## Funding Statement
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- **Model type:** Image classification /feature backbone
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- **Finetuned from model:** https://huggingface.co/timm/tf_efficientnet_b3.ns_jft_in1k
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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{{ direct_use | default("[More Information Needed]", true)}}
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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{{ bias_risks_limitations | default("[More Information Needed]", true)}}
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## How to Get Started with the Model in MapReader
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Please go to [the MapReader documentation](https://mapreader.readthedocs.io/en/latest/User-guide/Classify.html) for instruction of how to use this model in MapReader.
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## Training, Evaluation and Testing Details
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### Training, Evaluation and Testing Data
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This model was fine-tuned on [this data](https://huggingface.co/datasets/Livingwithmachines/MapReader_Data_SIGSPATIAL_2022).
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### Training, Evaluation and Testing Procedure
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Details can be found [here](https://dl.acm.org/doi/10.1145/3557919.3565812).
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### Results
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Data outputs can be found [here](https://huggingface.co/datasets/Livingwithmachines/MapReader_Data_SIGSPATIAL_2022).
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Further details can be found [here](https://dl.acm.org/doi/10.1145/3557919.3565812).
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## More Information
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This model was fine-tuned using MapReader.
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The code for which can be found [here](https://github.com/Living-with-machines/MapReader) and the documentation can be found [here](https://mapreader.readthedocs.io/en/latest/).
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## Model Card Authors
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Katie McDonough ([email protected])
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Rosie Wood ([email protected])
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## Model Card Contact
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Katie McDonough ([email protected])
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## Funding Statement
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