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Home Artificial Intelligence

The way to Successfully Detect Objects with Meta’s Picture Segmentation Mannequin: SAM 2 | by Eivind Kjosbakken | Aug, 2024

Admin by Admin
August 27, 2024
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Learn to make the most of Meta’s new SAM 2 mannequin to phase something

Eivind Kjosbakken

Towards Data Science

Phase Something Mannequin 2 is Meta’s newest picture segmentation mannequin, able to detecting and marking objects in photographs and code. This text will present you methods to obtain and make the most of the mannequin and assessment the mannequin and its capabilities. Utilizing picture segmentation fashions is thrilling as you may instantly see the mannequin’s outcomes and perceive how nicely it performs, as segmentation is a process your mind is sweet at itself. You’ll be able to, subsequently, shortly decide whether or not a picture segmentation mannequin is performing nicely.

That is an instance of SAM 2 utilized to a statue of a samurai. The picture showcases how SAM 2 can successfully detect totally different objects in a picture. Picture by the creator.

My motivation for this text is my sequence on maintaining with the newest fashions inside machine studying. SAM2 is a just lately launched mannequin from Meta, an organization that persistently produces superior open-source machine-learning fashions. I’ve beforehand written about Amazon’s Chronos forecasting mannequin, Llama3, and a number of other different AI fashions. This text will deal with SAM2, with how you should utilize the mannequin your self, what duties you may apply the mannequin to, and the way nicely the mannequin performs. This mannequin can be launched underneath an Apache 2.0 license, that means you might be free to make use of the mannequin in a industrial setting, which, in my view, makes the mannequin even…

Tags: AugDetectEffectivelyEivindImageKjosbakkenMetasmodelobjectsSamSegmentation

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