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In efforts to automatically capture important data from scientific papers, computer scientists have developed a method that can accurately detect small, geometric objects such as triangles within ...
Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...
The Rubin Observatory's enormous datasets call for cloud computing, seven different "brokers" and, indeed, a butler of sorts.
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Space.com on MSNAstronomy has a major data problem – simulating realistic images of the sky can help train algorithmsPhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...
It seems doubtful, of course, but you've got to test this sort of thing to know what you're working with. By generating over 7,000 images, faces were detected in approximately 0.6% of them: 47 images.
In tests, the researchers’ model outperformed the baseline by inserting realistically shaped objects. When an image recognizer — YOLOv3 — was applied to images produced by the AI, it was ...
These are the first public images collected by the Chile-based observatory, which will begin a decade-long survey of the southern sky later this year.
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