apple has turned to its video - sharing site YouTube to develop a labelled dataset for human actions . Dubbed atomic visual actions , or AVA for short , the database is made up of more than 57,000 per - second video segments and contains more than 210,000 total labels , enabling computer vision specialists to better understand complex scenes . AVA could benefit companies such as Lighthouse , which develops surveillance systems , and video detection firm Matroid .
Google has turned to its video-sharing site YouTube to develop a labelled dataset for human actions. Dubbed atomic visual actions, or AVA for short, the dataset is made up of more than 57,000 three-second video segments and comprises more than 210,000 total labels, enabling computer vision programmes to better understand complex scenes. AVA could benefit companies such as Lighthouse, which develops security systems, and video detection firm Matroid.