mlsanityData to 14 Oct 2026

NIPS4Bplus: a richly annotated birdsong audio dataset

arXiv 1811.02275 ↗First posted 6 Nov 2018cs.SD cs.DL eess.AScited by 14

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Nov 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 0; 2024: 5; 2025: 4; 2026: 3.

14 papers.

Sort:

  1. 2024BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacousticscited by 36
  2. 2025The iNaturalist Sounds Datasetcited by 17
  3. 2024animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacousticscited by 14
  4. 2022Exploring Fine-Grained Audiovisual Categorization with the SSW60 Datasetcited by 12
  5. 2024AudioProtoPNet: An interpretable deep learning model for bird sound classificationcited by 10
  6. 2024Animal Behavior Analysis Methods Using Deep Learning: A Surveycited by 4
  7. 2025Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videoscited by 4
  8. 2022Western Mediterranean wetlands bird species classification: evaluating small-footprint deep learning approaches on a new annotated datasetcited by 2
  9. 2026MetaPerch: Learning from metadata for bioacoustics foundation modelscited by 2
  10. 2025Merlin L48 Spectrogram Datasetcited by 1
  11. 2024NBM: an Open Dataset for the Acoustic Monitoring of Nocturnal Migratory Birds in Europecited by 0
  12. 2025Adversarial Training Improves Generalization Under Distribution Shifts in Bird Sound Classificationcited by 0
2 more
  1. 2026A strongly annotated passive acoustic dataset for tropical bird monitoringcited by 0
  2. 2026Adaptive Loss Balancing for Multi-Task Bioacoustic Classification of Bird Species and Call Typescited by 0