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title
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2025-12-29 17:19:21
raw text
VIRAT Video Data Toggle navigation Download The VIRAT Video Dataset The VIRAT Video Dataset is designed to be realistic, natural and challenging for video surveillance domains in terms of its resolution, background clutter, diversity in scenes, and human activity/event categories than existing action recognition datasets. It has become a benchmark dataset for the computer vision community. NEWS: January 2020: The VIRAT Video dataset annotations that were created as part of the IARPA DIVA program are now available in a public repository here . The repository also contains the activity definitions used for the annotations. About the VIRAT Video dataset The VIRAT video dataset distinguishes itself on the following characteristics. Realism and natural scenes : Data was collected in natural scenes showing people performing normal actions in standard contexts, with uncontrolled, cluttered backgrounds. There are frequent incidental movers and ...
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