COVID-19 Identification ResNet (CIdeR)

The COVID-19 Identification ResNet (CIdeR) dataset consists of 517 crowdsourced coughing and breathing audio recordings from 355 participants, of which 62 participants had tested positive for COVID-19 within 14 days of the recording.

Data and Resources

Cite this as

Harry Coppock, Alexander Gaskell, Panagiotis Tzirakis, Alice Baird, Lyn Jones, Björn W. Schuller (2024). Dataset: COVID-19 Identification ResNet (CIdeR). https://doi.org/10.57702/4okzicoc

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Author Harry Coppock
More Authors
Alexander Gaskell
Panagiotis Tzirakis
Alice Baird
Lyn Jones
Björn W. Schuller
Homepage https://github.com/glam-imperial/cider