• 3 min read
Roboflow Templates: 100+ Computer Vision Starter Apps
Today we are announcing a new tool to build the foundation of computer vision applications faster than ever: Roboflow Templates.
• 14 min read
How to Build a Vision-Language Model Application with Next.js
Vision-Language Models unlock powerful new ways to understand and process images alongside text. In this tutorial, we show how to combine Roboflow Workflows with Next.js to build a production-ready vision app.
• 7 min read
Replit Object Detection: Create Vision Apps with Roboflow
Learn how to build vision apps in hours with Replit and Roboflow - train models, deploy instantly, and count objects.
• 20 min read
Crack Detection with Computer Vision
Learn computer vision techniques for crack detection and use cases. We will walk through creating a real-time crack detection application and measurement of crack size (length and width).
• 11 min read
Spotlight on Upcoming AI & Computer Vision Events and Conferences in 2026
2026 will be a landmark year for AI and computer vision. This guide highlights the top conferences - from NeurIPS to CVPR - where you can discover breakthroughs, connect with industry leaders, and shape the future of AI.
• 6 min read
Real-Time Drinking Detection: Building Hydrovisor
Learn how to use Roboflow Inference.js and MediaPipe to build Hydrovisor - a real-time web app that detects drinking behavior through your webcam and reminds you to stay hydrated. A practical guide to computer vision in action.
• 22 min read
Corrosion Detection with Computer Vision
In this blog, you’ll learn how to build a corrosion detection app with Roboflow and NiceGUI, using computer vision techniques like classification, detection, and segmentation. This approach helps automate inspections and protect critical assets.
• 13 min read
Prompting Tips for Large Language Models with Vision Capabilities
Large multimodal models like Google Gemini and GPT-4o can now analyze both text and images, unlocking powerful computer vision capabilities. This guide shows you how to craft effective prompts and how to quickly build real-world vision applications.
• 7 min read
Create Vision Applications with Roboflow Using Vercel v0
By combining large language models with Roboflow’s API and Vercel v0, you can easily build vision apps. This tutorial shows you how to find pre-trained models on Roboflow Universe, adjust inference settings, and deploy a working application directly to the web.
• 10 min read
Build a PyTorch Custom Dataset
Custom PyTorch datasets give you full control over how data is loaded, transformed, and fed into your model. In this guide, you’ll learn how to build a PyTorch custom dataset step by step.
• 14 min read
Top Visual Inspection Systems
Discover leading visual inspection systems including Roboflow, Zebra, Cognex, Keyence, Basler, and Rockwell, and their key features.
• 15 min read
Automate Marathon Bib Number Recognition with Computer Vision
Timing and photography are the heartbeat of marathon events, but manually spotting bib numbers across hours of video is slow, error-prone, and costly. Learn how to automate bib recognition, accurately recording finish-line times and capturing the exact moment each runner crosses.
• 14 min read
Build Flutter Applications Using Computer Vision with Roboflow
Discover how to combine Flutter’s elegant cross-platform UI framework with Roboflow’s powerful computer vision platform to build AI-driven applications. Learn how to create a Flutter app that detects and counts Canadian coins.
• 11 min read
Build Computer Vision Applications with LLMs and Roboflow
Large language models and Roboflow make it possible to build computer vision apps in hours. This guide shows how to use LLM coding assistants with Roboflow’s API and Universe models to create and deploy vision AI apps.
• 9 min read
How to Fine-Tune Qwen2.5-VL with a Custom Dataset
Learn how to fine-tune Qwen2.5-VL for document processing using a custom dataset.
• 4 min read
Beyond Chatbots: Grow Your Business with Vision AI
AI is key for growth, but the path to success isn’t always obvious. Use our framework to identify strategic vision AI opportunities, design impactful solutions, and successfully deliver a return on investment.
• 18 min read
Pre‑Trained Models in Deep Learning
Understand what are pre-trained models, explore top pre-trained models, and learn how to easily use pre-trained models in Roboflow Workflows.
• 9 min read
How to Use Roboflow CoreML Models and ESP32 Hardware for IoT
Learn how to use CoreML models trained on Roboflow to control hardware devices with an ESP32 device.
• 5 min read
How to Train YOLO11 Instance Segmentation on a Custom Dataset
Learn how to train a YOLO11 instance segmentation model with Roboflow.
• 8 min read
How to Use Your Current Cameras for AI
You don’t need expensive new cameras to start using AI. With Roboflow, you can connect existing IP, CCTV, or even smartphone cameras to powerful computer vision workflows - saving costs, simplifying integration, and unlocking real-time insights.
• 20 min read
AI-Powered Shelf Price Verification: Matching Labels to POS Data
Manual shelf audits are slow, error-prone, and expensive. Learn how to automatically detect shelf labels, verify prices against POS systems, and catch costly discrepancies in real time.
• 2 min read
Roboflow Joins Microsoft's Pegasus Partnership Program
We are excited to announce Roboflow has joined Microsoft's Pegasus Program.
The Pegasus Program is an invite-only initiative that provides industry-leading businesses with a deep partnership across Microsoft’s go-to-market and technical teams. Roboflow is on the exclusive list of companies closely partnering with Microsoft to drive the
• 17 min read
Top 10 Multimodal Datasets
This blog covers top 10 multimodal dataset and where to find multimodal dataset. You will also learn about importance of multimodal dataset in computer vision and tips for using the dataset.
• 7 min read
How to Import Voxel51 Datasets into Roboflow
Learn how to take a dataset from Voxel51 into Roboflow, train an RF-DETR model, and deploy it to the cloud, private servers, or edge devices. This step-by-step guide walks you through dataset conversion, model training, workflow testing, and real-world integration.
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