It provides all you need to build and deploy computer vision models, from data annotation and organization tools to scalable deployment solutions that work across devices.
Roboflow is a tool in the Datasets & Benchmarks category of a tech stack.
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What are some alternatives to Roboflow?
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Hugging Face, Amazon S3, Zapier, Kubernetes, Amazon Rekognition and 7 more are some of the popular tools that integrate with Roboflow. Here's a list of all 12 tools that integrate with Roboflow.