Roboflow AI Vision Toolkit
What can Roboflow help me build and deploy?
Roboflow is an end-to-end platform for computer vision. It lets you create and curate datasets, label data collaboratively, train and evaluate models, and deploy them to production. It supports cloud hosting and edge deployment, deploys via a hosted API or at the edge with video streams or image data, and lets you combine custom models, open-source models, LLM APIs, pre-built logic, and external applications within one integrated workflow.
How do I deploy models with Roboflow?
You can deploy to the cloud via a hosted API or to the edge using video streams or image data. Roboflow provides an integrated workflow builder and deployment infrastructure to ensure configurations can be deployed. For production-ready inference, you can use Roboflow Inference, the open-source deployment solution.
What is Roboflow Inference and how do I use it?
Roboflow Inference is an open-source, high-performance deployment solution for computer vision. It provides a production-ready inference server that can deploy many popular model architectures and fine-tuned models. To get started, install the package (for example, pip install inference) and start the inference server, then use a client (such as InferenceHTTPClient) to send data for inference.
What is included in Roboflow's ecosystem and what tools are available?
Roboflow offers a suite of tools to support your workflow, including:
- supervision: utilities to annotate and track objects
- notebooks: open-source Jupyter Notebooks showing how to train and work with models
- autodistill: use large foundation models to label data for training smaller, faster models
- inference: a production-ready inference server
It also integrates with cloud providers (AWS S3, Google Cloud, Azure) and supports various annotation formats, training frameworks, and external tools.
What annotation formats does Roboflow support?
Roboflow supports common annotation formats and provides tools to convert between formats. Notably, it lists support for LabelMe and CVAT, and offers format conversion to facilitate data interoperability.
What security and compliance features does Roboflow offer?
Roboflow emphasizes security and enterprise-grade infrastructure:
- Compliant with SOC 2 Type 2 requirements
- Data encrypted in transit and at rest, with SSL transport receiving a grade A+ rating from Qualys
- HIPAA-compliant infrastructure, including the ability to execute BAAs
Which industries use Roboflow?
Roboflow is used across a wide range of industries, including:
- Automotive
- Security
- Banking
- Retail
- Aerospace & Defense
- Government
- Oil & Gas
- Agriculture
- Manufacturing
- Telecommunications
- Healthcare
- Utilities
How do I get started with Roboflow?
Getting started typically involves:
- Signing up for an account
- Creating a new project and selecting your task type (object detection, image classification, or semantic segmentation)
- Uploading images and annotations or using a sample dataset
- Using Roboflow’s annotation, data filtering, and augmentation tools
- Training your model either on Roboflow’s hosted service or by exporting data to your preferred framework
- Deploying the trained model to production (cloud or edge)
Can I collaborate on labeling and workflows?
Yes. Roboflow supports collaborative labeling and provides a workflow builder to design and manage end-to-end computer vision pipelines with multiple contributors.
What documentation and help resources are available?
Roboflow provides comprehensive documentation, notebooks, and user support resources, including a public documentation site, community forums, and changelogs to keep you informed about updates and new features.
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