NIPS4Bplus: a richly annotated birdsong audio dataset

TL;DR

NIPS4Bplus is a comprehensive, richly annotated birdsong audio dataset designed to advance detection, classification, and ecological monitoring of bird vocalizations.

Contribution

It introduces the first fully annotated birdsong dataset with detailed temporal and species annotations, enabling improved model training.

Findings

Provides detailed statistical information about the dataset

Facilitates training of models for bird population monitoring

Supports various ecoacoustic tasks

Abstract

Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of recordings containing bird vocalisations along with their active species tags plus the temporal annotations acquired for them. Statistical information about the recordings, their species specific tags and their temporal annotations are presented along with example uses. NIPS4Bplus could be used in various ecoacoustic tasks, such as training models for bird population monitoring, species classification, birdsong vocalisation detection and classification.