Roboflow

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Everything you need to build and deploy computer vision applications.

AI Data Labeling AI Model Deployment Computer Vision

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4.8(126 across the web)

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TL;DR - Roboflow

End-to-end platform for building and deploying computer vision applications.
Offers tools for data curation, AI-assisted annotation, model training, and cloud/edge deployment.
Used by over 1 million engineers and 16,000 organizations across diverse industries.

Pricing: Free plan available

Best for: Growing teams

4.8/5 across review platforms

Pros & Cons

Pros

Good computer vision platform
Dataset management
Model training
Easy deployment
Good documentation

Cons

Expensive at scale
Credit based
Learning curve
Limited free tier
Vendor lock-in

Ratings Across the Web

4.8(126 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Computer vision platformDataset managementModel trainingAnnotation toolsDeployment optionsPre-trained models

Pricing Plans

Free Trial

Public

Free

Open source

$60/mo free credits
2 users
Data labeling
Model training
Community support
Data is open source

Core

$79/month

Private data

$60/mo credits
3 users
Private models
Training analytics
Download weights

Enterprise

Production

Custom credits
Priority GPU access
RBAC
Model monitoring
HIPAA available
24x7 SLA

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What is Roboflow?

Editorial review

Roboflow provides a comprehensive platform for developers and enterprises to build and deploy computer vision applications. It offers an integrated workflow builder and deployment infrastructure that streamlines the entire process from data curation to production deployment. Users can explore, visualize, filter, and organize data, leverage AI-assisted annotation tools for collaborative labeling, and train models with optimized infrastructure. The platform is designed for machine learning engineers across various industries, including automotive, retail, healthcare, and manufacturing. It enables users to deploy models via hosted APIs or to edge devices, combining custom models, open-source models, LLM APIs, and pre-built logic. Roboflow also provides tools for model evaluation, performance monitoring, and integration with popular tools and frameworks like AWS S3, Google Cloud, TensorFlow, and PyTorch, accelerating the computer vision development roadmap.