Maxim Dupont

Did you know that deep learning libraries like Pytorch have seen performance improvements of nearly 1500% since their inception? One remarkable model taking advantage of these advancements is the Segment Anything Model (SAM) by Meta's FAIR Lab. This guide delves into SAM's capabilities, designed to revolutionize

Create an image that showcases the breadth and depth of Roboflow's developer resources, including tutorials, code snippets, webinars, and examples. The image should feature a variety of visual representations, such as icons, graphs, and charts, to communicate the range of topics covered. The overall design should be clean

The tools we use are changing. Meta's Segment Anything Model (SAM) is now the big player in sorting images using AI. We need to make sure AI does its job fairly, clearly, and with full responsibility. AI is getting smarter and more widespread. That's why we

Using Roboflow can be several times cheaper than doing computer vision work in-house. This big difference shows how Roboflow's tools save money and time. Roboflow is trusted by big companies like those in retail, biotech, and oil & gas. It shows how useful it is in many areas.

By 2028, the data annotation market could reach a shocking USD 8.22 billion. This big jump shows how much organizations need data annotation pros to make AI better. Sectors like health and cars are getting more into this. With more use of digital images and mobile tech, jobs in

MedSAM is making waves with its vast data. It covers 10 imaging types and 30+ cancer kinds. This groundbreaking work comes from the minds of Xianjie Liu, Keren Fu, and Qijun Zhao. They hail from Sichuan University and China's National Key Laboratory of Fundamental Science on Synthetic Vision.