677243 news 1727881504 1729101968 <![CDATA[SKYSCENES Leverages New Algorithms to Improve Safety for Autonomous Flying Vehicles]]> An artificial intelligence (AI) training dataset developed at Georgia Tech is setting a new standard for the safety and reliability of autonomous drones and flying vehicles.

SKYSCENES compiles more than 33,000 annotated computer-generated aerial images. With applications in urban planning, disaster response, and autonomous navigation, the dataset trains computer vision models to better detect and identify objects in aerial images, which can be challenging for existing AI models.

Read the full story to learn how School of Interactive Computing Ph.D. student Sahil Khose and Assistant Professor Judy Hoffman developed this groundbreaking dataset to pave the way for the future of autonomous aviation.

]]> 2024-10-02T00:00:00-04:00 Georgia Tech researchers have created a new benchmark dataset of computer-generated aerial images. Judy Hoffman, an assistant professor at Georgia Tech’s School of Interactive Computing, worked with students to create SKYSCENES, a dataset containing over 33,000 computer-generated aerial images of cities.

]]> 675195 image <![CDATA[Georgia Tech School of Interactive Computing Ph.D. student Sahil Khose]]> Ph.D. student Sahil Khose worked with Assistant Professor Judy Hoffman to curate SKYSCENES, a new benchmark dataset that provides well-annotated aerial images of cities that computer vision algorithms can use to operate autonomous flying vehicles. Photos by Kevin Beasley/College of Computing.

]]> 258796 image/jpeg Nathan Deen, Communications Officer

Georgia Tech School of Interactive Computing

nathan.deen@cc.gatech.edu

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