A strongly annotated passive acoustic dataset for tropical bird monitoring
Passive acoustic monitoring enables continuous, non-invasive biodiversity assessment across diverse ecosystems. The scale of these datasets has driven the adoption of machine learning, with supervised approaches showing strong performance. However, supervised methods require time-resolved annotated datasets, which remain scarce, especially in complex tropical soundscapes. We present PteroSet, a curated dataset of strongly annotated Neotropical bird vocalizations recorded in Puerto Asis (Putumayo) and Pivijay (Magdalena), Colombia, between 2023 and 2025. The dataset comprises 563 recordings (73.62 h) and 15,372 time-frequency annotations, including 6,702 events identified to the species le...
| Authors | Daniela Ruiz, Juan Sebastián Ulloa, Zhongqi Miao et al. |
|---|---|
| Primary category | cs.SD |
| Published | 20 May 2026 |
| Last updated at source | 21 May 2026 |
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