Segmentation

segmentation is a well-liked task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking...

Learn learn how to utilize Meta’s latest SAM 2 model to segment anythingSegment Anything Model 2 is Meta's latest image segmentation model, able to detecting and marking objects in images and code. This text...

I'm now bringing you a Data Science in Marketing — Customer Base Segmentation (clustering) project. It is a high-level project that might be applied in any company that needs to know the differences amongst...

In the previous couple of years, the world of AI has seen remarkable strides in foundation AI for text processing, with advancements which have transformed industries from customer support to legal evaluation. Yet, in...

Whether it's online or in a store, consumers are used to being prompted to affix loyalty programs when making a purchase order. It’s a component of the shopping experience people have come to expect,...

One in all the core challenges in computer vision-based models is the generation of high-quality segmentation masks. Recent advancements in large-scale supervised training have enabled zero-shot segmentation across various image styles. Moreover, unsupervised training...

An autonomous vehicle must rapidly and accurately recognize objects that it encounters,...

On the fifth (local time), Meta announced on its blog that it developed a latest artificial intelligence (AI) model 'Segment Anything Model (SAM)' that may detect objects in photos and videos, improving the unknown...