Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, ...

Google just upgraded its AI image model, and it actually looks to be a pretty significant step up. The company rolled out Gemini 2.5 Flash Image today, a major refresh that promises smarter and more ...

Apple is reportedly close to replacing the Sony-made camera sensors found across today’s iPhone lineup with a fully custom, in-house design. According to new information shared by Fixed Focus Digital, ...

When ChatGPT exploded in popularity, so did AI text-to-image generators. Without a doubt, image generators are fascinating tools that can convert a simple text prompt into a realistic image, as seen ...

Abstract: Semi-supervised learning based on consistency learning offers significant promise for enhancing medical image segmentation. Current approaches use copy-paste as an effective data ...

I have performed segmentation as shown in the tutorial and I want to know if its possible to get polygons out of the segmented parts in the output orthoimage. This is my input ortho image. And this is ...