Roboflow

Roboflow is a comprehensive platform designed to facilitate the creation, training, and deployment of computer vision models. It provides a suite of tools that streamline the entire process from labeling images to deploying models in production. The platform is utilized by over 500,000 engineers and supports a wide range of industries, from aerospace and defense to healthcare and retail. Roboflow offers a user-friendly interface for managing visual data, training custom models on hosted GPUs, and deploying models at scale with high performance, either on the edge or in the cloud.

• Auto Label: Automatically label images for training models.
• Annotation Tools: Designed for fast labeling in the browser.
• Training: Train custom models on hosted GPUs.
• Deployment: Scalable, high-performance deployment options for both edge and cloud.
• Inference: Easy-to-use, production-ready inference server.
• Integrations: Open APIs and SDKs for customizing and automating pipelines.
• Ecosystem: Includes Notebooks, Autodistill, and Multimodal Maestro for a complete development experience.

• Industry Solutions: Tailored solutions for various industries such as aerospace, healthcare, automotive, and more.
• Data Management: Search, curate, and manage visual data efficiently.
• Model Training and Fine-tuning: Utilize foundation models and fine-tune them with user data.
• Annotation Project Management: Manage projects across multiple work streams.

• Image and Video Databases: Integration with AWS S3, Kubernetes, Azure, and Google Cloud.
• Annotation Formats: Support for Amazon Rekognition, LabelBox, CVAT, and more.
• Training Frameworks: Compatibility with TensorFlow, PyTorch, YOLO, and others.
• Edge and Cloud Deployment: Support for NVIDIA Jetson, Raspberry Pi, SageMaker, and various cloud platforms.

• 350 million hosted images
• 500,000 datasets
• 100,000 hosted models