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README.md
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<!-- Provide a quick summary of what the model is/does. -->
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This model
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## Model Details
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- **Developed by:**
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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<!-- Provide a quick summary of what the model is/does. -->
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This model serves as a resource for researchers and data scientists seeking to identify contrails in satellite images.
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Contrails (streams of vapor from airplane exhaust) can spread to many kilometers wide and trap heat in the atmosphere, which contributes to global warming.
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Rerouting planes to avoid the atmospheric conditions that lead to contrail formation is an effective strategy,
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and other researchers are already working on models that predict contrails. However, there is a need to validate those prediction models based on a "ground truth"
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indicating when and where contrails did/did not actually form. This model provides that ground truth, and should be used to help improve other models
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that predict contrail formation.
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## Model Details
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- **Developed by:** UC Berkeley Master of Information and Data Science (MIDS) Capstone Team: Pedro Melendez, Prakash Krishnan, Rebecca Nissan, Sitao Chen, Ziling Huang
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- **Model type:** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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