61,000 audio samples representing urban noise environments in Uganda. The dataset is designed for tasks such as noise classification and audio tagging and includes two configurations, large and small. It was published by Sunbird and described in a peer-reviewed data descriptor.
Use Cases
- Noise classification based on labeled urban soundscapes.
- Audio tagging for environmental sound analysis.
- Training machine learning models for urban noise monitoring applications.
Strengths
- 61,000 audio samples provide a substantial corpus for model training.
- Two configurations (large and small) offer flexibility for different computational needs.
- Peer-reviewed data descriptor indicates documented and vetted data.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Freshness should be verified as the last update is listed as 2026-05-08.
Provenance
- Source
- Sunbird
- Freshness
- Last updated 2026-05-08 08:24:59.
- Geography
- Uganda