The data: To approach this problem, a team at Google AI turned to an unexpected data set: thousands of YouTube videos of people performing the Mannequin Challenge. (If it happened to pass you by at the time, this involved standing as still as possible while someone moved around you, filming the pose from all angles. ) These videos also happen to be a novel source of data for understanding the depth of a 2D image.
Unknowing participants: The researchers also released their data set to support future research, meaning that thousands of people who participated in the Mannequin Challenge will unknowingly continue to contribute to the advancement of computer vision and robotics research.
The practice is motivated by the immense amount of data required to train deep-learning algorithms and has only been exacerbated in recent years as researchers produce ever bigger models to achieve breakthrough results.