See what Roboflow costs, who it is for, and how its computer vision annotation, training, and deployment tools compare before you sign up.
Roboflow is a computer vision platform that helps developers and teams build, train, and deploy image and video recognition models without assembling the entire machine learning pipeline from scratch. Founded in 2019 and headquartered in Des Moines, Iowa, the company grew out of a Y Combinator-backed project and now serves over a million developers worldwide.
The platform spans the full workflow: uploading and annotating datasets, applying preprocessing and augmentation, training custom models or fine-tuning open-source architectures, and deploying the result to the cloud, an API endpoint, or edge hardware.
Roboflow's annotation suite includes AI-assisted labeling tools that speed up bounding-box, polygon, and keypoint annotation, along with dataset versioning so teams can track changes to training data over time. Its Workflows builder lets users chain together multiple models and logic blocks into a single visual pipeline for tasks like counting, classification, and multi-stage detection.
On the deployment side, Roboflow supports cloud-hosted inference APIs, an edge device sandbox for testing on hardware like NVIDIA Jetson or Raspberry Pi, and downloadable model weights for self-managed deployment. Roboflow Universe gives users access to a large public library of community-shared datasets and pre-trained models.
Roboflow offers a free Public plan with two users, around sixty dollars per month in usage credits, and access to public datasets and models only. The Core plan costs seventy-nine dollars per month billed annually (or ninety-nine dollars per month billed monthly), supports three base users and up to twenty projects, and unlocks private data, training analytics, and concurrent model training.
Enterprise pricing is custom and adds commercial inference licensing, priority GPU access, role-based access control, and dedicated support. Because usage is credit-based, actual costs scale with training and inference volume rather than being a fixed per-seat fee.
Roboflow is used to annotate image and video datasets, train computer vision models, and deploy those models to the cloud or edge devices for tasks like object detection, classification, and segmentation.
Yes, Roboflow offers a free Public plan that includes annotation tools, model training, and cloud deployment, though projects and datasets on this plan are public.
The Core plan costs seventy-nine dollars per month when billed annually, or ninety-nine dollars per month when billed monthly.
Roboflow was founded in 2019 by Brad Dwyer and Joseph Nelson.
Roboflow is headquartered in Des Moines, Iowa, with an additional presence in San Francisco.
Yes, Roboflow supports deployment to edge hardware through its edge device sandbox and the Roboflow Inference server.
Yes, Roboflow supports training and fine-tuning popular open-source architectures alongside its own model options.
Yes, Roboflow offers a custom-priced Enterprise plan with commercial inference licensing, priority GPU access, and dedicated support.