research data . Dataset . 2019

FSDKaggle2018

Eduardo Fonseca; Xavier Favory; Jordi Pons; Frederic Font; Manoj Plakal; Daniel P. W. Ellis; Xavier Serra;
Open Access
  • Published: 29 Jan 2019
  • Publisher: Zenodo
Abstract
<p>FSDKaggle2018 is an audio dataset containing 11,073 audio files annotated with 41 labels of the&nbsp;<a href="https://research.google.com/audioset////////ontology/index.html">AudioSet Ontology</a>. FSDKaggle2018 has been used for the <a href="http://dcase.community/challenge2018/task-general-purpose-audio-tagging">DCASE Challenge 2018 Task 2</a>, which was run as a Kaggle competition titled&nbsp;<a href="https://www.kaggle.com/c/freesound-audio-tagging">Freesound General-Purpose Audio Tagging Challenge.</a></p> <p><strong>Citation</strong></p> <p>If you use the FSDKaggle2018 dataset or part of it, please cite our <a href="https://arxiv.org/abs/1807.09902"><st...
Subjects
free text keywords: audio dataset, audio tagging, Kaggle, DCASE, everyday sounds
Funded by
EC| AudioCommons
Project
AudioCommons
Audio Commons: An Ecosystem for Creative Reuse of Audio Content
  • Funder: European Commission (EC)
  • Project Code: 688382
  • Funding stream: H2020 | RIA
Download fromView all 2 versions
Zenodo
Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Zenodo
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue