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| title: README | |
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| The goal of the Frugal AI Challenge is to encourage both academic and industry actors to keep efficiency in mind when deploying AI models. | |
| By tracking both energy consumption and performance for different AI for climate tasks, we can incentivize frugality in AI deployment while also addressing real-world challenges. | |
| We have chosen three tasks across three modalities, all of which are useful in the global fight against the climate crisis: detecting climate disinformation, classifying regions at risk of wildfires, and detecting illegal deforestation. We will evaluate both performance and efficiency on each of the datasets, based on the real-world constraints of each task and the energy used. | |
| We will announce more details about the tasks and release the datasets soon! | |