Datature

Datature is a complete AI vision platform that allows teams and enterprises to build computer vision applications without writing a single line of code. It offers a range of features including dataset management, annotation, training, and deployment.

To use Datature, simply sign up for an account and login to the platform. From there, you can manage your datasets, annotate images or videos, train computer vision models using automated workflows, and deploy your models into production. The platform provides a user-friendly interface and powerful tools to streamline the entire computer vision development pipeline.

Datature is a complete AI vision platform that allows teams and enterprises to build computer vision applications without writing a single line of code.

To use Datature, sign up for an account, login to the platform, and start managing your datasets, annotating images or videos, training computer vision models, and deploying them into production.

The core features of Datature include dataset management, effortless annotation with Intellibrush, model training with advanced architectures, seamless deployment of computer vision models, integration with popular applications and tools, flexible and interoperable model artifacts, and customized integrations with responsive support.

Some use cases for Datature include pharmaceutical and healthcare, retail and e-commerce, smart city, utilities and energy, agriculture, and manufacturing and construction. In these industries, Datature can be used for tasks such as medical diagnosis, inventory management, traffic safety monitoring, asset inspection, crop yield optimization, and production quality checks.

Datature offers pricing options for experienced builders, enterprises, and researchers/academia. Experienced builders get unlimited annotations and training, up to 300 minutes of GPU training, and customized pricing. Enterprises receive customized integrations, responsive support, best-in-class security, and can contact sales for pricing details. Researchers and academia can test and validate multiple experiments on the no-code platform and also contact sales for pricing details.