Multimedia Commons

computer vision machine learning multimedia

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.

Update Frequency

Not updated.

License

The International Computer Science Institute and Lawrence Livermore National Laboratory have released the feature corpus and annotations under Creative Commons 0 (public domain), so there are no restrictions on use. More information on licensing and citation of the original metadata and the underlying images and videos is available from Yahoo! Labs at https://webscope.sandbox.yahoo.com/catalog.php?datatype=i&did=67

Documentation

https://multimediacommons.wordpress.com/yfcc100m-core-dataset/

Contact

multimedia-commons@icsi.berkeley.edu

Resources on AWS

  • 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.
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::multimedia-commons
    AWS Region
    us-west-2

Edit this dataset entry on GitHub

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