Roboflow
Roboflow, based in San Francisco, CA and Des Moines, IA, is a B2B company specializing in computer vision technology, offering tools for image and video data collection, annotation, model training, and deployment.
Company Overview
Roboflow is a B2B company that operates at the intersection of engineering, product, and design. The company is based in both San Francisco, CA, and Des Moines, IA. With a team of 40 professionals, Roboflow provides a comprehensive range of utilities to help integrate computer vision into applications. These include features for annotation, object tracking, model training, and deployment. As part of the Y-Combinator S20 batch, Roboflow serves a broad range of developers globally, including those from over half of the Fortune 100 companies.
Computer Vision Tools and Services
Roboflow offers a suite of tools designed to streamline the computer vision development process. This includes utilities for collecting and annotating image and video data, training models, and deploying them in production environments. The platform supports various deployment options, including NVIDIA Jetson, Raspberry Pi, Azure, and SageMaker. Additionally, Roboflow provides an inference server that is production-ready and can handle many popular model architectures. Developers can utilize pre-trained models or manage custom model development on Roboflow's platform.
Extensive Resources and Datasets
The Roboflow platform hosts over 150 million images, 200,000 datasets, and 50,000 models. This extensive collection allows developers to build and improve datasets and models for their computer vision projects. The platform also includes open-source Jupyter notebooks that illustrate how to train and work with the latest state-of-the-art computer vision models. Roboflow's resources simplify the development process, enabling faster and more accurate model creation without the need for extensive hand-labeling.
Developer Integration and Support
Roboflow supports integration with various training frameworks such as TensorFlow, PyTorch, YOLO, Keras, and Google Colab. The platform is compatible with several annotation formats, including Amazon Rekognition, LabelBox, CVAT, and SageMaker Ground Truth. Roboflow also offers integrations with cloud and edge deployment options like AWS S3, Kubernetes, Google Cloud, and NVIDIA TRT. Additionally, developers can get started quickly with an interactive Python experience using Roboflow's quick start guide.
Enterprise Infrastructure and Compliance
Roboflow provides enterprise-grade infrastructure and compliance to meet the needs of large organizations. This includes SOC2 Type 2 requirements and HIPAA-compliant infrastructure. The platform supports annotation project management across multiple work streams and offers tools for both open source and hosted computer vision development. By ensuring high standards of security and compliance, Roboflow enables organizations to confidently integrate advanced computer vision capabilities into their operations.