Learn how to utilize Meta’s new SAM 2 model to segment anything
Segment Anything Model 2 is Meta’s latest image segmentation model, capable of detecting and marking objects in images and code. This article will show you how to download and utilize the model and review the model and its capabilities. Using image segmentation models is exciting as you can immediately see the model’s results and understand how well it performs, as segmentation is a task your brain is good at itself. You can, therefore, quickly judge whether an image segmentation model is performing well.
Motivation
My motivation for this article is my series on keeping up with the latest models within machine learning. SAM2 is a recently released model from Meta, a company that consistently produces advanced open-source machine-learning models. I have previously written about Amazon’s Chronos forecasting model, Llama3, and several other AI models. This article will focus on SAM2, with how you can use the model yourself, what tasks you can apply the model to, and how well the model performs. This model is also released under an Apache 2.0 license, meaning you are free to use the model in a commercial setting, which, in my opinion, makes the model even…