The Great Wildlife Analytics Hub

• Birds
  • Importand persons in the field:
  • Audio
    • Identifikation
      • Classification
    • Datasets
    • Paper
    • Tools
    • Interresting Repos
    • Competitions
      • BirdCLEF
    • Best Practices
  • Photo
    • Datasets

Birds

Importand persons in the field:

• Stefan Kahl: https://orcid.org/0000-0002-2411-8877

Audio

Identifikation

Classification

• BirdNET-Lite → Dissertation from Stefan Kahl

• BirdNET-Analyzer

Datasets

• A collection of fully-annotated soundscape recordings from the Island of Hawai’i https://zenodo.org/record/7078499

• A collection of fully-annotated soundscape recordings from the Southwestern Amazon Basin https://zenodo.org/record/7079124

• A collection of fully-annotated soundscape recordings from the Northeastern United States https://zenodo.org/record/7079380

• A collection of fully-annotated soundscape recordings from the Western United States https://zenodo.org/record/7050014

• A collection of fully-annotated soundscape recordings from the southern Sierra Nevada mountain range https://zenodo.org/record/7525805

• A collection of fully-annotated soundscape recordings from neotropical coffee farms in Colombia and Costa Rica https://zenodo.org/record/7525349

• Bird Separation Dataset https://www.kaggle.com/datasets/chenyonghuan/bird-separation-dataset

• 2020 BirdCLEF Validation Audio and Ground Truth: https://www.kaggle.com/imoore/birdclef2020-validation-audio-and-ground-truth

• 16GB extended Xeno-Canto Bird Recordings Dataset: https://www.kaggle.com/imoore/xenocanto-bird-recordings-dataset

• Extended dataset of previous Cornell Birdcall Identification https://www.kaggle.com/c/birdsong-recognition/discussion/159970

• 2020 "Cornell Birdcall Identification" competition: https://www.kaggle.com/c/birdsong-recognition/data

• 2020 LifeCLEF Bird challenge: https://www.aicrowd.com/challenges/lifeclef-2020-bird-monophone

• 2013 bird classification competitions: https://www.kaggle.com/c/mlsp-2013-birds/data https://www.kaggle.com/c/multilabel-bird-species-classification-nips2013/data

• 17h videos of bird vocalization, bird call, and bird song from Google Research: https://research.google.com/audioset/dataset/bird_vocalization_bird_call_bird_song.html

• 130000 animal sound archive: https://www.gbif.org/dataset/b7ec1bf8-819b-11e2-bad2-00145eb45e9a

• Request data from Macualay Library: https://support.ebird.org/en/support/solutions/articles/48001064551-requesting-and-downloading-media

Many of these datasets are created based on data from "xeno-canto" website, which is dedicated to sharing bird sounds from all over the world: https://www.xeno-canto.org/

Paper

• https://ai.googleblog.com/2022/01/separating-birdsong-in-wild-for.html

• https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13928

• https://www.mdpi.com/2076-2615/12/22/3117

Tools

• https://github.com/schonkopf/soundscape_IR

• Some labeling tools: https://github.com/HumanSignal/awesome-data-labeling

• vak: a neural network toolbox for animal vocalizations and bioacoustics

• https://docs.openvino.ai

Interresting Repos

• https://github.com/google-research/sound-separation/tree/master

  • https://github.com/google-research/sound-separation/tree/master/models/bird_mixit

  • from https://ai.googleblog.com/2022/01/separating-birdsong-in-wild-for.html

Competitions

BirdCLEF

• BirdCLEF 2021

• BirdCLEF 2022

• BirdCLEF 2023

Best Practices

• https://support.ebird.org/en/support/solutions/articles/48001214056-merlin-sound-id-best-practices

• https://support.ebird.org/de/support/solutions/articles/48001064341-audio-preparation-and-upload-guidelines

Photo

Datasets

• https://dl.allaboutbirds.org/nabirds