A bird vocalisation dataset of birds in Uganda for automated bio-acoustic monitoring and analysis

Mark Abraham Magumba; Tom Denton; Mutesasira Bashir

doi:10.1016/j.dib.2024.110433

A bird vocalisation dataset of birds in Uganda for automated bio-acoustic monitoring and analysis

Data Brief. 2024 Apr 16:54:110433. doi: 10.1016/j.dib.2024.110433. eCollection 2024 Jun.

Authors

Mark Abraham Magumba¹, Tom Denton², Mutesasira Bashir¹

Affiliations

¹ Makerere University, Uganda, College of Computing and Information Sciences, P.O.Box 7062, Kampala, Uganda.
² Google Inc, Uganda.

Abstract

This paper is a description of a bird vocalisation dataset containing electronic recordings of birds in Uganda. The data was collected from 7 locations namely Bwindi impenetrable forest, Kibale forest national park, Matheniko game reserve, Moroto district, Kidepo National Park, Lake Mburo National Park and Murchison Falls National Park. The data was collected between May and June 2023. All together there are 570 recordings from 212 unique species amounting to more than 4 hours of audio. This represents a significant addition to the publicly available electronically recorded vocalisations for birds in Africa. The research was funded by Google Africa Research Collabs for the project entitled, "BASIS: Broad Avian Species Surveillance with Intelligent Sensing".

Keywords: Artificial intelligence; Bio acoustics; Deep learning; Machine learning; Ornithology.