Explore high-quality datasets for your AI and machine learning projects.
BirdSet is a large‑scale audio classification dataset focusing on bird vocalizations. It contains over 6,800 hours of recordings, providing training data for nearly 10,000 classes and over 400 hours of evaluation data across eight strongly labeled evaluation sets. BirdSet serves as a rich resource for audio classification tasks such as multi‑label classification, covariate shift, or self‑supervised learning.
