• 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
• 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.
• 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,
• 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.
• 5 min read
Launch: Process data directly from Wasabi, Backblaze B2, Cloudflare R2, and more
We’ve expanded Batch Processing to support the wider ecosystem of S3-compatible storage. Learn how to run inference on terabytes of data stored in Wasabi, Backblaze, and Cloudflare R2, and more.
• 6 min read
How to Use Qwen3-VL in Roboflow
In this guide, build an image-understanding workflow in Roboflow that turns Qwen3-VL into a production-ready vision agent you can run via API or on your own GPU.
• 4 min read
AI for Live Video: Introducing the Serverless Streaming API
SUMMARY
The Roboflow Serverless Video Streaming API lets you run computer vision workflows on live video from webcams, RTSP feeds, or video files by streaming directly to the cloud over WebRTC, with no inference environment to configure or manage. Compute instances are ephemeral and scale automatically, so you pay only
• 4 min read
Introducing Roboflow Rapid: Text prompt to vision model in minutes
SUMMARY
Roboflow Rapid is a prompt-based model creation engine that takes you from a text description and a handful of images or a short video to a deployed custom model without manual labeling. You type a prompt describing what to detect, Rapid automatically finds and annotates matching objects, and
• 6 min read
Launch: Use Segment Anything 3 (SAM 3) with Roboflow
SUMMARY
Roboflow has integrated SAM 3, Meta's foundation model for Promptable Concept Segmentation, across every major part of its platform, covering the Playground for interactive testing, the inference API, edge and private-cloud deployment, Roboflow Workflows for building production pipelines, and the Label Assist annotation tool for accelerating
• 13 min read
SAM 3: Segment Anything with Concepts
Learn what SAM 3 is, what you can do with the model, see examples of SAM 3 in use, and learn how you can use the model.
• 9 min read
Best iOS Object Detection Models
Explore the best iOS object detection models: RF-DETR, YOLO11, and MobileNet SSD. Learn how to train, quantize, and deploy vision AI on iOS.
• 9 min read
How to Create a YOLOv11 Android App
SUMMARY
This tutorial walks through training a custom YOLOv11 object detection model with Roboflow and deploying it directly on an Android device to build a real-time coin counting app. The model weights are converted from a .pt file to TorchScript format so they can run on-device without a
• 4 min read
Launch: Verified Model Metrics
SUMMARY
Model evaluation scores are not always comparable across providers because teams use different test sets, confidence thresholds, and calculation methods, which makes selecting models for production unreliable. Roboflow Verified Model Metrics addresses this by calculating mAP using open-source COCO Evaluation methodology from the Supervision library on independent test
• 9 min read
How to Build an iOS App with Visual AI Capabilities
SUMMARY
This tutorial walks through building an iOS app that detects glasses in real time using a custom RF-DETR Nano model trained in Roboflow and deployed via the roboflow-swift SDK. RF-DETR Nano is chosen specifically for its low latency on live camera streams, making it well suited
• 6 min read
How to Monitor Red Zones with Computer Vision
Learn how to monitor red zones for safety compliance using computer vision.
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