Video and Imagery Dataset to Drive Public Safety Capabilities
Laboratory staff have been developing a computer vision dataset of operational and representative public safety scenarios. This dataset will enable technology development tailored to public safety scenarios, and includes operational images and videos from several organizations. They have labeled ima...
| Format: | Article |
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| Language: | en_US |
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MIT Lincoln Laboratory
2020
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| Online Access: | https://hdl.handle.net/1721.1/128254 |
| _version_ | 1826205257118515200 |
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| collection | MIT |
| description | Laboratory staff have been developing a computer vision dataset of operational and representative public safety scenarios. This dataset will enable technology development tailored to public safety scenarios, and includes operational images and videos from several organizations. They have labeled images so that machine learning algorithms can recognize a wide range of relevant public safety features in different environments. “The information within these images could improve various aspects of a response and recovery effort, such as damage assessment. Our dataset will enable the development of machine-learned analytics to prioritize and
characterize images.” |
| first_indexed | 2024-09-23T13:09:50Z |
| format | Article |
| id | mit-1721.1/128254 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:09:50Z |
| publishDate | 2020 |
| publisher | MIT Lincoln Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/1282542020-10-30T03:16:34Z Video and Imagery Dataset to Drive Public Safety Capabilities Lincoln Laboratory Supercomputing LLSC Artificial Intelligence Laboratory staff have been developing a computer vision dataset of operational and representative public safety scenarios. This dataset will enable technology development tailored to public safety scenarios, and includes operational images and videos from several organizations. They have labeled images so that machine learning algorithms can recognize a wide range of relevant public safety features in different environments. “The information within these images could improve various aspects of a response and recovery effort, such as damage assessment. Our dataset will enable the development of machine-learned analytics to prioritize and characterize images.” New Jersey Office of Homeland Security and Preparedness 2020-10-29T18:59:52Z 2020-10-29T18:59:52Z 2019-08-23 Article https://hdl.handle.net/1721.1/128254 en_US The Bulletin; Attribution-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nd/3.0/us/ application/pdf MIT Lincoln Laboratory |
| spellingShingle | Lincoln Laboratory Supercomputing LLSC Artificial Intelligence Video and Imagery Dataset to Drive Public Safety Capabilities |
| title | Video and Imagery Dataset to Drive Public Safety Capabilities |
| title_full | Video and Imagery Dataset to Drive Public Safety Capabilities |
| title_fullStr | Video and Imagery Dataset to Drive Public Safety Capabilities |
| title_full_unstemmed | Video and Imagery Dataset to Drive Public Safety Capabilities |
| title_short | Video and Imagery Dataset to Drive Public Safety Capabilities |
| title_sort | video and imagery dataset to drive public safety capabilities |
| topic | Lincoln Laboratory Supercomputing LLSC Artificial Intelligence |
| url | https://hdl.handle.net/1721.1/128254 |