Primary competition visual

DataFest Africa Noise Pollution Classification Challenge

Helping Africa
$1 000 USD
Challenge completed over 3 years ago
Classification
367 joined
38 active
Starti
Jul 07, 22
Closei
Jul 26, 22
Reveali
Jul 27, 22
About

Due to the widespread noise pollution in our cities, 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.

This process was carried out by collecting noise samples around Kampala using mobile phones with the Open Data Kit (ODK) data collection tool. Sunbird AI gathered a total of nineteen noise data categories collected from the six divisions of Kampala, and for each of the nineteen categories we collected an average of 2000 noise data points.

The challenge is to train a noise classification model to classify noise into noise categories

There are ~ 30 000 audio files in train and ~12 000 audio files in test.

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