Roboflow is a computer vision platform that provides a streamlined workflow for identifying edge cases and deploying fixes, helping developers build smarter and more accurate models. The platform is backed by industry-leading investors, including co-founders of Segment, Firebase, Stripe, PayPal, and venture capital firms such as Craft Ventures, Lachy Groom Fund, and Y Combinator.
This tool offers a Quickstart feature that allows users to set up a local development environment for running inference on computer vision models within minutes. With Quickstart, users can experiment with object detection, classification, and segmentation models.
Roboflow Universe is a platform where users can search or explore datasets for computer and machine vision or Digital Transformation (DX), find new data to add to their projects, or test and deploy models from Universe in their applications.
The Roboflow Inference Server is a Docker-based application that seamlessly integrates with Roboflow, enabling users to deploy their custom computer vision models. This inference server provides a robust, field-tested solution for deploying models to the edge.
Roboflow also provides tools for labeling, organizing, and training computer vision models. Once a model has been trained using one of the Jupyter notebooks from Roboflow’s Computer Vision tutorials, users can download a weights file optimized for making predictions on their custom dataset.
For support, users can refer to the Roboflow Knowledge Base, visit the Forum, or file bugs for support for Roboflow computer vision tools, Roboflow Universe, and Roboflow open-source repositories. For business inquiries or other questions, users can contact the team through the contact page.
In summary, Roboflow is a computer vision platform that offers a wide range of features and tools for developers to create accurate models, from labeling and organizing data to deploying custom computer vision models. The platform is backed by reputable investors and provides support resources for users who need assistance.
