• 13 min read
Advanced Techniques for Optimizing AI Inference Costs
In this guide, you will learn about advanced techniques that can help reduce AI inference costs across the complete computer vision pipeline.
• 18 min read
Roboflow Serverless Inference: A Thousand Models on a Shared GPU Fleet
Most web services ingest kilobytes and emit the heavy bytes. Vision inference flips that, and breaks a few more production assumptions on the way. Here's the serverless architecture behind a thousand models on a shared GPU fleet.
• 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.
• 3 min read
OpenAI GPT-5.6 (Sol, Terra, and Luna) for Vision: Now in Roboflow Playground
OpenAI's GPT-5.6 family (Sol, Terra, and Luna) is now in the Roboflow Playground, so you can test all three tiers against your own visual data and compare them side by side with other frontier models.
• 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.
• 3 min read
Roboflow and Standard Bots Partner to Bring Custom Visual Intelligence to Every Robot
Roboflow and Standard Bots are announcing a partnership to enable robots to see, understand, and act with visual intelligence.
• 4 min read
Launch: RF-DETR Keypoint in Roboflow
RF-DETR Keypoint beats YOLO26-pose on accuracy and speed, learns keypoint uncertainty, and is Apache 2.0. Label, train, and deploy in Roboflow.
• 2 min read
Launch: Claude Fable 5 available in Roboflow
Claude Fable 5, Anthropic's most capable model, is now available in Roboflow Workflows and the Roboflow Playground.
• 7 min read
How to Use Tiling During Inference
Discover how image tiling improves small object detection. Learn to apply it during training and inference using Roboflow Workflows.
• 12 min read
How to Deploy Computer Vision Models Offline
In this guide, we walk through how to deploy computer vision models offline using Roboflow Inference.
• 5 min read
What Is YOLO-StereoDepth?
YOLO-StereoDepth brings stereo depth for robotics to the YOLO family in September 2026. See what we know and how to read metric depth today.
• 15 min read
Gemini Computer Vision
Google's Gemini models bring computer vision capabilities and enables understanding images and video without fine-tuning. In this guide you will learn how to use latest Gemini models in Roboflow Playground and Workflows for computer vision tasks.
• 6 min read
Gemini 3.5 Flash for Vision: Evaluation and Benchmarks
SUMMARY
Gemini 3.5 Flash, released at Google I/O on May 19, 2026, currently tops the Roboflow Vision Evals leaderboard across 67 real vision prompts covering defect detection, document understanding, object counting, and spatial reasoning. It outperforms Gemini 3.1 Pro on counting and spatial tasks while running roughly
• 3 min read
Launch: 300+ OpenRouter models available in Roboflow
SUMMARY
Roboflow's OpenRouter integration adds a single Workflow block that routes to any of 300+ VLMs, including every major commercial model and a broad selection of open-source options, without requiring separate auth, request adapters, or retry logic for each provider. Practical patterns this enables inside Roboflow Workflows
• 10 min read
What Is YOLO? The Guide to YOLO Models
Learn about the history of the YOLO family of objec tdetection models, extensively used across a wide range of object detection tasks.
• 12 min read
Use Cases for Computer Vision in Healthcare
The FDA has authorized 1,524 AI-enabled medical devices, and the market for vision in healthcare is growing 24% a year. Here are 9 ways hospitals use computer vision today, from pill counting to cancer screening, with tutorials to build each one.
• 4 min read
How to Store Computer Vision Model Predictions
Store computer vision model predictions, images, and metadata in one place. See Roboflow Vision Events turn raw output into insight.
• 7 min read
Vision Token Counts: What does it cost to process an image with a frontier vision model?
Understand the cost, per-provider tokenization rules, and a comparison across image sizes for Claude, GPT, and Gemini.
• 7 min read
Top Open-Source Object Tracking Tools
Compare the top open source object tracking tools: ByteTrack, BoT-SORT, OC-SORT, DeepSORT, and more, with how to choose and no-code options.
• 3 min read
Vision Events: Turning Images into Insights
Transform raw model predictions into trackable insights. Vision Events provides a secure, searchable record of your model deployments alongside images and custom metadata.
• 5 min read
Serverless GPU Inference Cost Comparison: Roboflow, GCP, AWS, Azure
SUMMARY
Serving a custom RF-DETR XL model on serverless GPU infrastructure produces dramatically different monthly costs depending on the provider and traffic pattern, so this post benchmarks Roboflow Serverless, GCP Cloud Run, AWS SageMaker, and Azure Serverless GPU across three workloads: continuous inference at one request per 10 seconds,
• 15 min read
Best Pose Estimation Models
Pose estimation is transforming how we understand human movement, powering everything from fitness tracking and sports analytics to healthcare rehabilitation. This guide explores the best pose estimation models, and shows how to deploy them efficiently across mobile, edge, and cloud environments.
• 4 min read
Inference 1.0: Foundational Infrastructure for Visual Understanding
SUMMARY
Roboflow Inference 1.0 is a modular, multi-backend execution engine built to run vision models at enterprise scale across cloud and edge hardware. The 1.0 release adds automatic backend selection across ONNX, PyTorch, and TensorRT, so the server picks the best runtime for the underlying hardware without
• 9 min read
How to Detect Small Objects with Roboflow Workflows
Learn how to use Roboflow Workflows to detect small objects with a computer vision model and the SAHI inference technique.
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