• 9 min read
How to Auto-Label Image Data with Gemini 3.7 in Roboflow
Roboflow Auto Label runs Gemini 3.7 across the batch and returns bounding boxes for the classes you define.
• 6 min read
Multi-Model Auto Labeling with Roboflow Workflows
Roboflow has brought the full power of Workflows into Auto Label, letting you run custom pipelines serverlessly on your unannotated images. This post walks through building a sample multi-VLM workflow from scratch, then shows how to launch it on an image batch in a few clicks.
• 5 min read
Natural Language Image Annotation
Automatically annotate images from text prompts: SAM 3 masks in Roboflow or Autodistill in Python, then train RF-DETR.
• 9 min read
Synthetic Image Generation in Roboflow Workflows with Stability AI
In this guide, learn how to use Roboflow to generate synthetic data with DALL-E and GPT-4 Vision for use in training vision models.
• 9 min read
How to Create a Synthetic Dataset for Computer Vision
Accelerate computer vision model development by generating synthetic images. Learn to build an automated Stability AI pipeline in Roboflow.
• 13 min read
Best Image Annotation Tools in 2026
Explore the top image annotation tools you can use to label data for your next computer vision project.
• 19 min read
Edge Detection in Image Processing: An Introduction
What edge detection is and how it works: Canny, Sobel, Laplacian, and more with OpenCV code, plus when to use a trained model instead.
• 14 min read
A Complete Guide to Instance Segmentation
We are excited to release support for instance segmentation projects on Roboflow. In this guide, you will learn the key concepts and practical tools behind instance segmentation
• 7 min read
What Is CVAT (Computer Vision Annotation Tool)?
Learn how to annotate images in CVAT, an open-source, web-based tool for labeling data for object detection, segmentation, classification, and other tasks.
• 4 min read
LabelImg for Labeling Object Detection Data
How to use LabelImg to label object detection data, labeling best practices, and a faster path to a trained model with Roboflow.
• 7 min read
VoTT for Image Annotation and Labeling
A guide on using VoTT to label your own computer vision dataset.
• 5 min read
Why and How to Implement Random Rotate Data Augmentation
Learn how to apply a random rotate data augmentation to images for use in training computer vision models.
• 4 min read
Launch: Train and Deploy YOLO26 with Roboflow
SUMMARY
Roboflow platform support for YOLO26 covers the full workflow from labeling and training to deployment. The model's edge-optimized architecture, which removes Non-Maximum Suppression for end-to-end predictions and introduces the MuSGD optimizer, can be deployed via Roboflow Inference on CPU or GPU hardware. Dataset
• 7 min read
How to Label Image Data for Computer Vision Models
This guide discusses what image labeling is and how to effectively label images for use in training computer vision models.
• 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
• 3 min read
Roboflow Named Leader in Image Recognition Software
We’re proud to announce that as of November 2025, Roboflow has been ranked the #1 Image Recognition product on G2.
• 3 min read
Automate Game Scorekeeping with Vision AI
SUMMARY
This tutorial builds a real-time automated scorekeeping system for cornhole using a custom computer vision model and a Roboflow Workflow. The model detects bags, the board, and the hole from an overhead camera; the Workflow then applies game logic to map detections to zones, calculate the score, and
• 5 min read
Count Objects on a Conveyor Belt Using Computer Vision
SUMMARY
This tutorial builds an end-to-end system for counting bolts and nuts on a moving conveyor belt, covering every stage from data collection to local deployment. Video frames are annotated using Roboflow's auto-labeling with Grounding DINO, a custom detection model is trained in the cloud,
• 8 min read
How to Build a Reading Assistant with AI
SUMMARY
This tutorial builds an interactive reading assistant that detects a finger pointing at a word on a page using an object detection model, reads the word using OCR, and then calls GPT-4 to pronounce it aloud, all wired together inside a Roboflow Workflow and run as a live
• 19 min read
How to Monitor Productivity with Eye Tracking
SUMMARY
This tutorial builds a real-time productivity tracker that uses a custom object detection model to monitor eye position, pupil movement, face presence, and phone usage via webcam, then logs distraction events over time. The model is trained in Roboflow on roughly 125 labeled images and deployed locally, where
• 15 min read
Predicting the Optimal Connect 4 Move with Computer Vision
SUMMARY
This tutorial builds a computer vision application that reads a physical Connect 4 board and recommends the optimal next move using the minimax algorithm. An object detection model is trained on an annotated Connect 4 dataset from Roboflow Universe, deployed via Roboflow, and used to parse the board state
• 7 min read
Label Verification AI: How to Verify Label Placement on Packages
Learn how to build a system to verify label placement on packages using computer vision.
• 3 min read
How to Label Outdoor Surveillance Data for Computer Vision Models
In this guide, learn how to effectively label outdoor surveillance data for use in training computer vision models.
• 5 min read
How to Moderate Video Content
Learn how to use the Roboflow Video Inference API to moderate video content.
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