widget:
- src: >-
https://huggingface.co/MIDSCapstoneTeam/ContrailSentinel/blob/main/contrail_shot.png
example_title: contrail1
Model Card for Model ID
This model serves as a resource for researchers and data scientists seeking to identify contrails in satellite images. Contrails (streams of vapor from airplane exhaust) can spread to many kilometers wide and trap heat in the atmosphere, which contributes to global warming. Rerouting planes to avoid the atmospheric conditions that lead to contrail formation is an effective strategy, 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" 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 that predict contrail formation.
Model Details
Model Description
- 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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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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