• 21 min read
Getting Started with Roboflow
Roboflow eliminates boilerplate code when building object detection models.
Get started with an example.
• 4 min read
AI for Live Video: Introducing the Serverless Streaming API
SUMMARY
The Roboflow Serverless Video Streaming API lets you run computer vision workflows on live video from webcams, RTSP feeds, or video files by streaming directly to the cloud over WebRTC, with no inference environment to configure or manage. Compute instances are ephemeral and scale automatically, so you pay only
• 8 min read
What Is Object Detection? How It Works and Why It Matters
In this guide, we discuss what object detection is, how it works, how to label and augment data for object detection models, and more.
• 4 min read
How I Taught My Dad Computer Vision with Roboflow in Under 30 Minutes!
Discover how I helped my dad build a custom computer vision model in under 30 minutes using Roboflow’s no-code AI tools.
• 8 min read
What is Computer Vision? Comprehensive Guide [2026]
Learn about computer vision and how you can use it to solve problems.
• 10 min read
What is OpenPose? A Guide for Beginners.
In this guide, we discuss what OpenPose is, what you can do with the model, and how you can use OpenPose.
• 8 min read
What is OpenCV? A Guide for Beginners.
Learn what OpenCV is, what you can do with OpenCV, how OpenCV performs on various tasks when run on CPU vs. GPU, and more.
• 5 min read
How to Use LabelMe: A Complete Guide
In this guide, we discuss the features in LabelMe, how to install LabelMe, and how to start annotating images in the tool.
• 4 min read
Resources to Build Computer Vision Applications Faster
Learn how Roboflow Utilities, Templates, Research, and Showcase can help you build computer vision applications faster.
• 4 min read
Recap: Roboflow's 12 Days of #Shipmas
Team Roboflow decided to end 2022 strong and kick off 2023 with a bang by shipping 12 new features in 12 days. Updates were made to model-assisted labeling, model training, annotation tools, the REST API, Python SDK, and more.
• 5 min read
Launch: Roboflow Command-line Interface
SUMMARY
The Roboflow CLI, installed via npm, lets you manage workspaces and projects, upload images and annotations, import datasets in common formats (COCO, Pascal VOC, and others), and run inference on object detection, classification, instance segmentation, or semantic segmentation models, all without opening a browser. Authentication stores API keys locally
• 4 min read
Sharing Your Computer Vision Project on Roboflow Universe
In this guide, learn how to launch your computer vision project on Roboflow Universe.
• 4 min read
Launch: Smart Polygon Labeling
SUMMARY
Roboflow Annotate's Smart Polygon tool uses a machine learning model behind the scenes to generate a polygon label with a single click on an object, reducing what previously required many manual point placements to a near-instant operation. Precise polygon annotations are required for training instance segmentation
• 5 min read
Train Activity Recognition Models Using Spectrograms and Computer Vision
As Ph.D. students in the Active Robotics Sensing Lab (ARoS) at NC State under the supervision of Dr. Edgar Lobaton, we developed in conjunction with The Engineering Place at NC State a set of activities to walk high school students through the entire computer vision pipeline.
• 8 min read
How to Train YOLOv5-Classification on a Custom Dataset
Learn how to train a YOLOv5 classification model on a custom dataset.
• 6 min read
Building Custom Computer Vision Models with NVIDIA TAO Toolkit and Roboflow
NVIDIA's TAO Toolkit provides a framework for fine-tuning popular computer vision models using your own data. In this tutorial, we'll be demonstrating how to use Roboflow to curate a high-quality computer vision dataset to use with NVIDIA's TAO Toolkit.
• 5 min read
Roboflow’s Python Pip Package For Computer Vision
Regardless of whether your project is a new product line, a new industrial production system, a research project, or a personal one to help you learn what computer vision is all about, you'll want to add "pip install roboflow" to your code - and here's why.
• 5 min read
Improving Computer Vision Datasets and Models
Common tips and tricks to improve your computer or machine vision dataset, including using Roboflow Train and the Dataset Health Check tools.
• 8 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.
• 6 min read
Identifying Chocolates With Computer Vision
Learn how to identify chocoaltes using computer vision technology.
• 7 min read
Who cares about Nemo, let's find some Sexy Shrimp!
Creating a computer vision model with Roboflow to detect sexy shrimp.
• 1 min read
Live Coding: Blackjack Basic Strategy
SUMMARY
This live coding session builds a computer vision web app that reads playing cards from a webcam and displays real-time blackjack basic strategy recommendations. Starting from boilerplate sample code, the session uses a playing cards object detection model from Roboflow Universe and produces a working app in about
• 3 min read
Choosing the Right Problem Statement
SUMMARY
Before picking a model or sourcing images, defining a well-scoped problem statement is the step that determines whether a computer vision project succeeds. A good problem statement is specific (naming exact objects to detect), achievable (accounting for annotation feasibility and domain expertise), and measurable (informing deployment strategy and
• 7 min read
Building vs. Buying a Computer Vision Platform
SUMMARY
Building a computer vision pipeline in-house requires stitching together image upload, annotation, dataset versioning, training, deployment, and active learning, and the result is typically fragile, hard to maintain, and difficult to debug when components break. This post examines seven recurring problems teams encounter when building their own infrastructure,
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