The FINANCIAL — Panasonic Corporation and Stanford Vision and Learning Lab (SVL) in the US have compiled the world’s largest multimodal datasets for living space AI development, called Home Action Genome, and make it available to researchers. In addition, the parties host an International Challenge on Compositional and Multimodal Perception (CAMP), a competition for action recognition algorithm development using this dataset. Home Action Genome is an image and measurement dataset compiled from multiple sensor data, including data from cameras and heat sensors, in residential scenes where daily life actions are mimicked. The data includes annotation that characterizes human action content for each scene.…
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