• 12 min read
What Is OpenPose? A Guide to Pose Estimation
In this guide, we discuss what OpenPose is, what you can do with the model, and how to use OpenPose.
• 13 min read
What Is YOLOv5? Architecture, Sizes, and How It Works
In this article, we discuss what is new in YOLOv5, how the model compares to YOLOv4, and the architecture of the new v5 model.
• 10 min read
Open-Vocabulary Object Detection Using Qwen3-VL in Google Colab
See how to run Qwen3-VL in Google Colab to build a prompt-driven detection pipeline that turns “find a yellow taxi” into structured, production-ready results.
• 7 min read
How to Use the Segment Anything Model (SAM)
Segment Anything (SAM) is a computer vision model developed by Meta AI. In this guide, you will learn how to use SAM on your own data.
• 8 min read
Using Vision-Language Models for Image Understanding
Vision-language models make image understanding fast and accessible. By using simple text prompts, teams can explore datasets, discover labels, spot errors, and speed up annotation early, before training, building stronger foundations for reliable computer vision systems.
• 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.
• 5 min read
Train a YOLO26 Instance Segmentation Model with Custom Data
SUMMARY
This tutorial walks through fine-tuning YOLO26 for instance segmentation on the Car Part Detection dataset from Roboflow Universe, using a Google Colab notebook with the Ultralytics library. Unlike object detection bounding boxes, instance segmentation identifies the exact pixels belonging to each object, which matters for applications like medical
• 4 min read
How to Train a YOLO26 Object Detection Model with Custom Data
SUMMARY
This tutorial covers fine-tuning a YOLO26 object detection model on the Basketball-Player-Detection dataset from Roboflow Universe, which contains 654 annotated images of NBA players, referees, and basketballs. Using a Google Colab notebook with the Ultralytics library, the guide walks through GPU environment setup, dataset download via
• 8 min read
Depth Anything 3 for Depth Estimation
In this guide, learn what makes DA3 different, where it shines, and how to build a working depth estimation pipeline in Roboflow Workflows that generates real 3D insight in minutes.
• 13 min read
Object Detection vs Vision-Language Models: When Should You Use Each?
Object detection and vision-language models solve different problems. This guide explains when to use each. And how speed, cost, and reliability differ.
• 9 min read
How to Train YOLOv8 Object Detection on a Custom Dataset
In this article, we walk through how to train a YOLOv8 object detection model using a custom dataset.
• 14 min read
How to Train a YOLOv5 Model On a Custom Dataset
Learn how to train a YOLOv5 model on a custom dataset.
• 5 min read
How to Try CLIP: OpenAI's Zero-Shot Image Classifier
Earlier this week, OpenAI dropped a bomb on the computer vision world.
• 7 min read
Try Gemini 3 Pro From Google
Learn how Gemini 3 Pro sets new vision benchmarks. Then try and compare it against other top vision models using Roboflow Playground.
• 5 min read
How to Fine-Tune Claude 3.7 Sonnet With Roboflow
Claude 3.7 Sonnet is one of the most powerful multimodal models for visual reasoning, and now you can customize it for your use case with Roboflow Workflows. Learn how to fine-tune Sonnet for structured JSON outputs and deploy a production-ready visual Q&A tool.
• 17 min read
Best Defect Detection Algorithms for Manufacturing
This guide breaks down the best defect detection algorithms for manufacturing and shows why instance segmentation is now the standard for high-precision quality control.
• 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
• 15 min read
Meta SAM 3D: Introduction
Understand what is SAM 3d and learn how to use SAM 3D + Roboflow to generate synthetic data and train a computer vision model.
• 15 min read
Explore the Best Depth Estimation Models
Depth estimation gives machines a 3D understanding of the world. See today’s leading depth estimation models, and learn how to run Depth Anything V2 inside Roboflow Workflows.
• 13 min read
How Much Training Data Do You Need to Train a Computer Vision Model?
Discover how to find the right amount of training data for your computer vision project. Learn how dataset size, balance, and annotation quality impact model accuracy.
• 4 min read
Roboflow Playground: Try and Compare 30+ Computer Vision Models
We are excited to announce a tool to help you try, compare, and evaluate over 30 popular zero-shot vision models: Roboflow Playground.
• 6 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.
• 6 min read
How to Train a ResNet-34 Model on a Custom Dataset
Learn how to train a ResNet-34 model for image classification using a custom dataset.
• 5 min read
How to Train a ResNet-18 Model with a Custom Dataset
Learn how to train a ResNet-18 classification model with a custom dataset.
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