Sold by: Multimedia Commons
Open data
|
Deployed on AWS
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.
Overview
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.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- 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
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://multimedia-commons/
Resources
Vendor resources
Support
Managed By
How to cite
Multimedia Commons was accessed on DATE from https://registry.opendata.aws/multimedia-commons .
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
Similar products
CommX operational collaboration suite provides easy to use user friendly voice, video and chat collaboration. Stream and manage real-time media on your browser with low-latency technology. Elevate your multimedia monitoring capabilities and never miss a single detail. Record, stream and investigate audio, video, and telephony sources. CommX Discover enables you to take the next big step in telephony calls and video data management. You can generate maximum insights from all input sources in real time via a simplified, web-based user interface. Keep streaming, watch, and hear recordings, start investigating and be creative with AI-driven investigation tools: Video indexing, STT (speech to text), Speaker verification, Face recognition, and Video summarization.
Creation of a learning management system that is tailored to meet the specific needs and requirements of an organization or educational institution
HCLTech MetaTwin is a metaverse collaboration and visualization application for XR devices and web which offers an immersive experience of the digital twin of our real-world industry. The application features advanced content visualization and integrates real-time data analytics to provide comprehensive insights. Additionally, it incorporates Generative AI (GenAI) to assist in various scenarios, enhancing user experience and operational efficiency.
The Personal Cloud Market is projected to reach USD 189.86 billion by 2030, driven by digital transformation, remote work adoption, and the integration of intelligent technologies for secure and accessible data storage