• 9 min read
How Often Should You Retrain a Computer Vision Model?
Learn how to recognize performance decline, data drift, new edge cases, and other signs that indicate a computer vision model needs retraining.
• 4 min read
Gemini 3.6 Flash for Vision: Evaluation and Benchmarks
Cheaper and faster than Gemini 3.5 Flash, and the best model we tested on video. Object detection is the one real step back.
• 21 min read
Best Computer Vision Models in 2026: A Task-by-Task Guide
Explore the best computer vision models in 2026 for object detection, segmentation, classification, keypoints, OCR, vision-language tasks, depth estimation, and tracking. Compare leading models, benchmarks, licensing, deployment options, and when to fine-tune on custom data using Roboflow tools.
• 13 min read
Top 10 Open-Source Computer Vision Models in 2026
Explore the top 10 open-source computer vision models in 2026 and learn how to use them in the Roboflow.
• 2 min read
Claude Sonnet 5 for Vision: Evaluation and Benchmarks
We ran Claude Sonnet 5 through the Roboflow Vision Evals across 67 real vision prompts. It ties Sonnet 4.6, trails Fable 5, and sits well behind Gemini 3.5 Flash, which still leads the board.
• 12 min read
Fastest Object Detection Models in 2026
Compare the fastest object detection models. Learn how to test models in Roboflow Workflows and use local Inference profiling to choose the best model for your data.
• 6 min read
What is MediaPipe? A Guide for Beginners
In this article, we discuss what MediaPipe is, what you can do with MediaPipe, and how to use MediaPipe in Python.
• 7 min read
What Is ResNet-50? Architecture Explained
Learn what ResNet-50 is, how it works, and how ResNet models of various levels perform on image classification.
• 12 min read
What Is OpenPose? A Guide to Pose Estimation
In this guide, we discuss what OpenPose is, what you can do with the model, and how to use OpenPose.
• 7 min read
How to Use the Segment Anything Model (SAM)
Segment Anything (SAM) is a computer vision model developed by Meta AI. In this guide, you will learn how to use SAM on your own data.
Stay Connected