mlsanityData to 14 Oct 2026

AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring

arXiv 2307.06860 ↗First posted 11 Jul 2023cs.SD cs.LG eess.AScited by 10

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Abstract (arXiv)

Global change is predicted to induce shifts in anuran acoustic behavior, which can be studied through passive acoustic monitoring (PAM). Understanding changes in calling behavior requires the identification of anuran species, which is challenging due to the particular characteristics of neotropical soundscapes. In this paper, we introduce a large-scale multi-species dataset of anuran amphibians calls recorded by PAM, that comprises 27 hours of expert annotations for 42 different species from two Brazilian biomes. We provide open access to the dataset, including the raw recordings, experimental setup code, and a benchmark with a baseline model of the fine-grained categorization problem. Additionally, we highlight the challenges of the dataset to encourage machine learning researchers to solve the problem of anuran call identification towards conservation policy. All our experiments and resources can be found on our GitHub repository https://github.com/soundclim/anuraset.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 27 of its 65 references that are in the map. First posted on arXiv 11 Jul 2023.

Builds on

27 of 65 references.

References · 27

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  2. 2019SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognitioncited by 1,380
  3. 2019Class-Balanced Loss Based on Effective Number of Samplescited by 1,245
  4. 2019Learning Imbalanced Datasets with Label-Distribution-Aware Margin Losscited by 989
  5. 2018Recognition in Terra Incognitacited by 658
  6. 2020Long-tail learning via logit adjustmentcited by 618
  7. 2019Tackling Climate Change with Machine Learningcited by 265
  8. 2018Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learningcited by 174
  9. 2021Seeing biodiversity: perspectives in machine learning for wildlife conservationcited by 130
  10. 2016Resnet in Resnet: Generalizing Residual Architecturescited by 110
  11. 2018Learning to Navigate for Fine-grained Classificationcited by 103
  12. 2017The Devil is in the Tails: Fine-grained Classification in the Wildcited by 89
15 more
  1. 2021The Benefit Of Temporally-Strong Labels In Audio Event Classificationcited by 83
  2. 2021TorchAudio: Building Blocks for Audio and Speech Processingcited by 83
  3. 2021Computational bioacoustics with deep learning: a review and roadmapcited by 78
  4. 2022AVES: Animal Vocalization Encoder based on Self-Supervisioncited by 53
  5. 2022BEANS: The Benchmark of Animal Soundscited by 38
  6. 2017A Network Perspective on Stratification of Multi-Label Datacited by 37
  7. 2021Improving Bird Classification with Unsupervised Sound Separationcited by 25
  8. 2022The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Countingcited by 24
  9. 2022Bugs in the Data: How ImageNet Misrepresents Biodiversitycited by 24
  10. 2016We don't need no bounding-boxes: Training object class detectors using only human verificationcited by 20
  11. 2021HumBugDB: A Large-scale Acoustic Mosquito Datasetcited by 15
  12. 2023Learning to detect an animal sound from five examplescited by 14
  13. 2022Few-shot bioacoustic event detection at the DCASE 2022 challengecited by 13
  14. 2022Exploring Fine-Grained Audiovisual Categorization with the SSW60 Datasetcited by 12
  15. 2023Unsupervised classification to improve the quality of a bird song recording datasetcited by 10

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 6; 2026: 3.

10 papers.

  1. 2025The iNaturalist Sounds Datasetcited by 17
  2. 2025Foundation Models for Bioacoustics -- a Comparative Reviewcited by 11
  3. 2025Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractorscited by 7
  4. 2024Mixture of Mixups for Multi-label Classification of Rare Anuran Soundscited by 4
  5. 2025Robust detection of overlapping bioacoustic sound eventscited by 4
  6. 2025Synthetic data enables context-aware bioacoustic sound event detectioncited by 2
  7. 2026bacpipe: a Python package to make bioacoustic deep learning models accessiblecited by 2
  8. 2025Inteligencia Artificial para la conservaci'on y uso sostenible de la biodiversidad, una visi'on desde Colombia (Artificial Intelligence for conservation and sustainable use of biodiversity, a view from Colombia)cited by 0
  9. 2026Ecologically-Constrained Task Arithmetic for Multi-Taxa Bioacoustic Classifiers Without Shared Datacited by 0
  10. 2026Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inferencecited by 0