Roboflow - Build and Deploy Computer Vision Applications with Roboflow
Roboflow is the platform used by over 800,000 engineers to create datasets, train models, and deploy to production for detection, tracking, counting, and analysis.
Roboflow Product Information
What is Roboflow?
Roboflow is an integrated workflow builder and deployment infrastructure that ensures easy configuration and deployment of datasets and models. With the ability to deploy with a hosted API or to the edge with video streams or image data, it offers a combination of custom models, open source models, LLM APIs, pre-built logic, and external applications. The platform also helps users explore, visualize, filter, curate, and organize data to create the best dataset for training.
How to Use Roboflow?
Using Roboflow, developers can integrate their favorite tools such as AWS S3, Google Cloud, Azure, TensorFlow, PyTorch, and more. They can also start running models in just 2 minutes with Roboflow Inference, the open source, high-performance deployment solution.
Core Features of Roboflow
- Dataset Creation and Curation
- Model Training and Evaluation
- Inference Deployment
Use Cases of Roboflow
- Computer Vision Applications Development
- Industry-Specific Computer Vision Solutions
- Dataset Management and Curating
- Model Training and Evaluation
FAQ about Roboflow
What is Roboflow used for?
Roboflow is used for creating datasets, training models, and deploying computer vision applications for various use cases, including detection, tracking, counting, and analysis.
Can Roboflow be integrated with other tools?
Yes, Roboflow can be integrated with AWS S3, Google Cloud, Azure, TensorFlow, PyTorch, and more, providing a flexible and customizable pipeline.
Is Roboflow suitable for industry-specific computer vision solutions?
Yes, Roboflow is designed to support industry-specific requirements and solutions through its dataset creation, model training, and deployment infrastructure.
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