Datature's platform consists of four main components:
- Nexus: An end-to-end no-code MLOps platform that allows you to collaborate, annotate, train, and deploy multiple computer vision models on a single platform. You can import images and annotations from various sources, use advanced annotation tools and AI-assisted labelling, customize training workflows and hyperparameters, evaluate model performance with interactive metrics and visualisations, and deploy models via API with a single click.
- IntelliBrush: A feature of Nexus that helps you create pixel-perfect annotated images of all formats 10x faster. IntelliBrush uses AI to outline even the most challenging objects with a few clicks. You can specify the level of granularity and refine objects to suit your needs. IntelliBrush supports masks, polygons, and bounding boxes.
- Optimised Algorithms and Libraries: Datature implements state-of-the-art algorithms and libraries for computer vision, such as FasterRCNN, YOLOX, and many more. You can build models with research-tested methods without writing any code.
- Reliable Model Deployment: Datature provides a secure, compliant, and scalable infrastructure for deploying your computer vision models. You can deploy models via API with a single click and access them from anywhere. Datature handles the hosting, scaling, monitoring, and updating of your models.
Datature is used by thousands of teams across various industries, such as construction, healthcare, retail, agriculture, and more. Datature helps you build better computer vision products faster and easier.
