Forbes contributors publish independent expert analyses and insights. Tech & gaming exec, futurist, & speaker on spatial computing, AI & AR. The future of tech is wearable, AI-powered and spatially ...

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection. To ...

Learn what Vision-Language Models (VLMs) are, how they work, and why they're changing computer vision, multimodal AI, and ...

Ultralytics is the company behind YOLO, an open-source computer vision model used for tasks including detection, segmentation ...

Meta AI Research open-sourced DINOv2, a foundation model for computer vision (CV) tasks. DINOv2 is pretrained on a curated dataset of 142M images and can be used as a backbone for several tasks, ...

Computer vision has become commonplace across innumerable industries, but the methods of creating and controlling these visual AI models aren’t so easy. Viso is building a low/no-code end-to-end ...

A benchmark study combining adaptive background modeling, four-frame differencing and occlusion-aware tracking reached 92.9% ...

Meta has launched SAM 2, an advanced computer vision model that significantly improves real-time video segmentation and object detection. You can now enhance your video editing and analysis projects ...

Two years ago, Microsoft announced Florence, an AI system that it pitched as a “complete rethinking” of modern computer vision models. Unlike most vision models at the time, Florence was both “unified ...

The tools include the new Segment Anything Model (SAM) and the Segment Anything 1-Billion mask dataset (SA-1B), Meta said in a Wednesday (April 5) blog post. Their names refer to “segmentation,” which ...