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CNNs and Vision Transformers represent two fundamentally different ways of understanding images, and the right choice can dramatically affect accuracy, speed, and deployment performance. This guide explains their strengths, trade-offs, and real-world performance for detection, and shows you how to evaluate both inside Roboflow so you can confidently select the right model for...
Computer vision used to require deep machine learning expertise and countless hours of coding. Today, no-code platforms have democratized vision AI, making it accessible to anyone, regardless of technical background. It doesn’t matter if you're building a rust detection syste...
Meta has introduced SAM 3D, a groundbreaking release alongside Segment Anything Model 3 that brings common sense 3D understanding to natural images. SAM 3D is a new generati...
Segmentation models in computer vision are designed to understand the structure of a scene by assigning pixel-level labels to objects. Traditional approaches such as href="https://blog.roboflow.com/what-is-semantic-segmentation/" target="_blank" rel="noopener ugc nofollo...
Released on November 19th, 2026, Segment Anything 3 (SAM 3) is a new, zero-shot instance segmentation developed by Meta. You can use SAM 3 to generate precise segmentation masks for objects in an image or video using either text or point prompts.
In this guide, we are going...
