• 5 min read
Reflections on GPT-5 Vision Capabilities
Roboflow's reflections on using GPT-5 for computer vision tasks.
• 15 min read
Object Counting with Computer Vision
Understand what is object counting in computer vision, challenges in object counting, real-world use-cases of object counting and learn how to perform object counting in image and video.
• 4 min read
How to use YOLOE for Zero-Shot Object Detection & Segmentation
In computer vision, few model families have made as big an impact as YOLO. Originally designed for fast and accurate object detection, the YOLO architecture has evolved rapidly, now supporting both complex detection and segmentation tasks.
With the rise of YOLOE and other enhanced variants, it's now easier
• 4 min read
GPT-5 for Vision: Results from 80+ Real-World Tests
On August 7th, 2025, OpenAI released GPT-5, the newest model in their GPT series. GPT-5 has advanced reasoning capabilities and, like many recent models by OpenAI, multimodal support. This means that you can both prompt GPT-5 with one or more images and ask for an answer, but also prompt the
• 8 min read
How to Import Supervisely Datasets to Roboflow
Learn how to import datasets from Supervisely into Roboflow, train a YOLOv11 model, and deploy it to the cloud or edge. See how to convert annotations, fine-tune your model, and build production-ready vision workflows.
• 3 min read
Reduce Jittery and Flickering Detections in Computer Vision
It's common in computer vision projects for bounding boxes to jump or flicker from frame to frame, especially when objects move quickly or lighting is challenging. This is because the model detections aren't perfect or consistent and, when visualized, the human eye sees lots of jittery
• 19 min read
Automated Body Measurement with Computer Vision
Learn how to build a real-time body measurement app using computer vision. This guide walks through detecting 17 key body points, and calculating measurements like height, arm span, and shoulder width from a single image.
• 13 min read
Real-Time PCB Defect Detection with Computer Vision
Learn how to build a real-time PCB defect detection system using Roboflow and Python. This step-by-step guide shows how to train a custom model, create an automated inspection workflow, and display results in a sleek, operator-friendly GUI.
• 9 min read
Automate Image Background Blurring Using SAM 2
Learn how to build an automated background blurring workflow using Roboflow and SAM 2, Meta’s state-of-the-art segmentation model. This guide walks through every step.
• 8 min read
How to Create a YOLOv11 Android App
Adding vision AI capabilities to your Android app is possible by deploying a custom YOLOv11 model on your device. Object detection models allow you to create lots of useful features like counting, measurement, reading text, and classification.
In this guide, you'll learn how to create a custom YOLOv11
• 4 min read
Launch: Verified Model Metrics
Selecting the right computer vision model for production starts with accurately measuring and comparing model performance. Evaluation metrics quantify a model’s capabilities, helping teams make informed decisions and choose models suited for real-world use. Among the many metrics available, Mean Average Precision (mAP) is a leading metric because it
• 11 min read
Automated Image Tagging with Computer Vision
Learn how to build a Python application that uses computer vision models to analyze images for face visibility, framing, lighting, clutter, and an overall photo score, embedding these tags directly into the image file.
• 18 min read
Model Deployment
In this article you will understand what is ML model deployment, how it works, best practices for model deployment, popular deployment tools and how to deploy a computer vision model on your local machine using Roboflow.
• 8 min read
Real-Time Process Tracking with Computer Vision
With this project, we integrate real-time feedback and computer vision to develop a hand-washing steps-tracking system using a Python application and a Roboflow-trained model.
• 13 min read
AI Data Labeling Guide
Even with advancements in multimodal foundation models, auto-segmentation techniques, and synthetic data generation, accurate AI data labeling remains a crucial component of production-ready AI systems.
• 5 min read
Building a Drowning Detection Model with Computer Vision
Drowning can happen in seconds, even with lifeguards watching. Learn how to build a computer vision system to detect when someone stays underwater too long and trigger life-saving alerts.
• 3 min read
Roboflow Launches 'Roboflow for Startups', Sponsors Vercel AI Accelerator
Roboflow for Startups
Today, we’re announcing the Accelerator Partner Program within Roboflow for Startups, a new initiative designed to support early-stage startups using computer vision.
If you’re part of a participating accelerator (like Y Combinator, Vercel AI Accelerator, Sequoia Arc, or others) you may be eligible for our
• 9 min read
How to Build an iOS App with Visual AI Capabilities
In this guide, we’ll walk through using a custom object detection model tailored to identify glasses and show you how to seamlessly integrate it into an iOS app for instant live detection — all with minimal latency and maximum convenience.
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• 18 min read
What Is Depth Anything V2: Depth Estimation
Understand what depth estimation is. Learn how Depth Anything V2 works and how to use it in Roboflow Workflows.
• 5 min read
Advancing State of the Art Object Detection (Again) with RF-DETR
Learn how to use and train the three new state-of-the-art RF-DETR object detection model sizes.
• 7 min read
Detect NBA 3 Second Violations with AI
Introduction
Ever shouted at the screen that a player was camping in the paint? You're not alone. Basketball is a fast paced and dynamic sport, with many rules that apply per player making it difficult for a referee to monitor everything. The 3-second rule in basketball, which prevents
• 5 min read
Use Qwen2.5-VL for Zero-Shot Object Detection
Qwen2.5-VL is the latest addition to the Qwen vision-language model series, offering cutting-edge capabilities for image, text, and document understanding.
Available in three model sizes—3B, 7B, and 72B—it excels at tasks such as object detection, OCR for multi-language and rotated text, and structured data extraction from complex
• 8 min read
How Computer Vision Is Reshaping The Restaurant Industry
Learn how computer vision can be used to improve efficiency in the restaurant industry.
• 7 min read
Use Gemini 2.5 for Zero-Shot Object Detection & Segmentation
Learn how to use Gemini 2.5 for zero-shot object detection and segmentation.
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