FSDKaggle2019 is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. FSDKaggle2019 has been used for the DCASE ...

The dataset used in this challenge is called FSDKaggle2019, and it employs audio clips from the following sources: Freesound Dataset (FSD): a dataset being ...

Jan 20, 2020 · FSDKaggle2019 is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. FSDKaggle2019 has been ...

To win this competition, Kagglers will develop an algorithm to tag audio data automatically using a diverse vocabulary of 80 categories.

FSDKaggle2019 is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. FSDKaggle2019 has been used for the DCASE ...

FSDKaggle2019 is an audio dataset containing 29,266 audio files annotated with 80 labels of the AudioSet Ontology. FSDKaggle2019 has been used for the DCASE ...

Jan 19, 2020 · We have released the full test set & labels of FSDKaggle2019. This dataset was used for DCASE 2019 Task 2 - Audio tagging with noisy labels ...

Jun 7, 2019 · This task was hosted on the Kaggle platform as "Freesound Audio Tagging 2019". The task evaluates systems for multi-label audio tagging using a ...

The dataset used in this task is called FSDKaggle2019, and it employs audio clips from the following sources: Freesound Dataset (FSD): a dataset being ...

This task was hosted on the Kaggle platform as "Freesound Audio Tagging 2019". The task evaluates systems for multi-label audio tagging using a large set of ...