Photo by Milad Fakurian on Unsplash

FSDnoisy18k-Open Audio Dataset Dataset for Machine Learning

Install DagsHub:

pip install dagshub
Click on copy button to copy content

To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/FSDnoisy18k-Open_Audio_Dataset")

fs.listdir("audio_train")
Click on copy button to copy content

Description

The FSDnoisy18k dataset is an open dataset containing 42.5 hours of audio across 20 sound event classes, including a small amount of manually-labeled data and a larger quantity of real-world noisy data.

Additional information

Related datasets

CREMA-D

daps-dataset

UrbanSounds

UrbanSound8K-Labeled Urban Sound Excerpts Dataset

Launch your ML development to new heights with DagsHub

Back to top