Roboflow

The core idea behind Roboflow is that engineers need tools to build and deploy custom computer vision solutions to production. Each computer vision use case is unique, team competencies vary, and level of customization required is different. While there are many independent variables, all computer vision solutions have a common pipeline: collect data, manage data, label data, process data, train a model, deploy the model, and display results. Roboflow provides tools for each step in that process and integrates with your existing solutions so you can tailor your pipeline to meet your needs. We take an extensible and interoperable approach to tools which lets you do things like easily implement a new open source framework, programming language, or technology into your pipeline, whenever you need it. No software or hardware lock-in, just infrastructure, building blocks, and tools to increase productivity.With a few images, you can train a working computer vision model in an afternoon. For example, bring data into Roboflow from anywhere via API, label images with our cloud-hosted image annotation tool, kickoff a hosted model training (or export to your favorite cloud GPU), and deploy the model via a hosted API endpoint. This process can be executed in a code-centric way, in the UI, or any mix of the two.