Roboflow
End-to-end computer vision platform, from labeling to deployment.
About
Roboflow is an end-to-end visual-AI development platform that takes teams from raw images and video to production computer-vision applications. It covers dataset management and understanding, automated data labeling, model training and fine-tuning, and deployment to cloud, edge devices, or web browsers, with monitoring for performance degradation. Founded in 2019 by Joseph Nelson and Brad Dwyer, it raised a $40 million Series B in November 2024 led by GV.
The company reports more than 25,000 customer companies and over a million developers using its open-source tools, and its Universe hub hosts hundreds of thousands of public datasets and pretrained models. Honest caveats: adoption figures are company-reported, and costs scale with usage on larger annotation and training workloads.
What it can do
- Dataset management with automated labeling assistance
- Hosted training and fine-tuning of vision models
- Deployment to cloud, edge, or browser with monitoring
Setup
Sign up at roboflow.com, upload images, label, train, and deploy from the dashboard.
Prerequisites
Image or video data; a Roboflow account.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 78; Trending score 84/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.