Multimedia Commons

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/multimedia-commons-dataset")

fs.listdir("s3://multimedia-commons")

Description:

The Multimedia Commons is a collection of audio and visual features computed for the nearly 100 million Creative Commons-licensed Flickr images and videos in the YFCC100M dataset from Yahoo! Labs, along with ground-truth annotations for selected subsets. The International Computer Science Institute (ICSI) and Lawrence Livermore National Laboratory are producing and distributing a core set of derived feature sets and annotations as part of an effort to enable large-scale video search capabilities. They have released this feature corpus into the public domain, under Creative Commons License 0, so it is free for anyone to use for any purpose.

Contact:

The Multimedia Commons is a collection of audio and visual features computed for the nearly 100 million Creative Commons-licensed Flickr images and videos in the YFCC100M dataset from Yahoo! Labs, along with ground-truth annotations for selected subsets. The International Computer Science Institute (ICSI) and Lawrence Livermore National Laboratory are producing and distributing a core set of derived feature sets and annotations as part of an effort to enable large-scale video search capabilities. They have released this feature corpus into the public domain, under Creative Commons License 0, so it is free for anyone to use for any purpose.

Update Frequency:

Not updated.

Managed By:

http://mmcommons.org/

Resources:

1. resource:
   • Description: This directory has 99,171,688 image files and 787,479 video files. The videos add up to around 8,081 hours, with an average video length of 37s and a median length of 28s.
   • ARN: arn:aws:s3:::multimedia-commons
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: Browse Bucket

Tags:

aws-pds, computer vision, machine learning, multimedia, video