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Due to the widespread noise pollution in our cities, data sponsors Sunbird AI recognised a need to gather data on noise exposure, in order to produce an action plan and empower citizens to be vigilant in tracking and monitoring noise. The challenge is to train a noise classification model to classify noise into different categories.

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DataFest-Africa-Noise-Pollution-Classification-Challenge

This challenge is hosted on Zindi here: https://zindi.africa/competitions/datafest-africa-2022 for the datafest event.

Due to the widespread noise pollution in our cities, data sponsors Sunbird AI recognised a need to gather data on noise exposure, in order to produce an action plan and empower citizens to be vigilant in tracking and monitoring noise. The challenge is to train a noise classification model to classify noise into different categories.

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Due to the widespread noise pollution in our cities, data sponsors Sunbird AI recognised a need to gather data on noise exposure, in order to produce an action plan and empower citizens to be vigilant in tracking and monitoring noise. The challenge is to train a noise classification model to classify noise into different categories.

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