21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T682,

What is Roboflow?

Roboflow is a computer vision platform designed for developers and enterprises. It provides tools to build and deploy computer vision models, including automated annotation, model training infrastructure, and deployment solutions. The platform supports various industries and use cases, offering features like data curation, collaborative labeling, model evaluation, and edge deployment. Roboflow aims to accelerate computer vision roadmaps with best-in-class tooling and expert guidance.

How to use Roboflow?

To use Roboflow, start by creating an account and uploading your image or video data. Use the platform's annotation tools to label your data, then train a computer vision model using Roboflow's hosted infrastructure. Finally, deploy your model to the edge, in your VPC, or via API.

Roboflow's Core Features

Automated annotation tools

Hosted model training infrastructure

Low-code interface for building pipelines

Deployment solutions for edge and cloud

Data curation and analytics

Model evaluation and monitoring

Roboflow's Use Cases

#1 Defect detection on production lines

#2 Tracking shipping inventory

#3 Improving product quality

#4 Security monitoring

#5 Retail analytics

#6 Autonomous vehicles

#7 Healthcare diagnostics

Roboflow

📋Introduction

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