A manufacturing defect affecting cylinder power triggered an FDA recall of nearly 34,000 contact lenses last year. Roboflow published a tutorial showing how to train an object detection model on a pub…
Roboflow published a guide on integrating large language models into computer vision pipelines, detailing when to add an LLM for tasks like text extraction and contextual judgment versus when to rely …
Anthropic's Claude Fable 5, its most capable model, is now available on the Roboflow platform for integration into production pipelines without API wiring. In Roboflow's Vision Evals, Fable 5 achieved…
Roboflow released a workflow that automates medical device packaging inspection and UDI label verification by pairing its RF-DETR object detection model with Gemini 2.5 Pro. The system can detect dama…
Roboflow's RF-DETR computer vision model now powers vision agents that detect objects in real time and autonomously act on that data, such as suggesting recipes from a fridge's contents or building a …
Roboflow released a tutorial demonstrating how textile manufacturers can use an RF-DETR computer vision model and Roboflow Workflow to automatically detect fabric defects and send structured alerts to…
A new open-source tool allows users to turn any browser with WebGPU support into a cluster node for sharing GPU inference, enabling LLM hosting without Python environments or driver setup. The system …
Roboflow has released an open-source inference library that enables developers to deploy computer vision models entirely offline on edge devices, laptops, or air-gapped systems without relying on clou…
Roboflow launched an integration with OpenRouter, giving users access to over 300 vision-language models through a single interface. The integration allows developers to switch between models in produ…
A computer vision system built on Roboflow now enables real-time detection of whether workers on construction sites are wearing helmets and safety vests, automatically tallying safe and unsafe workers…
Roboflow released a tutorial for building a real-time traffic light detection system using its platform and the RF-DETR model. The system, which achieved 84.3% mean average precision on a public datas…