Japan Panasonic Stanford Tender

Panasonic Corporation and Stanford Vision and Learning Lab SVL in the US have compiled the worlds largest1 multimodal datasets2 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 annotation3 that characterizes human action content for each scene.Information concerning data acquisition and CAMP participation methods is available at the CAMP website.httpscamp-workshop.stanford.eduMost living space datasets released to date have been small and composed largely of audio and image data. The new dataset combines Panasonics data measurement technology with annotation expertise from SVL to achieve the worlds largest multimodal datasets in living space.AI researchers will be able to apply this dataset to machine learning and utilize it for research into AI to support people in the home.To realize individualized Lifestyle Updates that make living better day by day Panasonic will accelerate AI development for home by promoting collaborative use of the dataset.Notes1. As of October 15 2020. As a multimodal dataset for living space Panasonic survey2. Data generated from simultaneous readings from multiple sensor types3. Human-supplied semantic information relating to the data