Tuba.ai

Allows users to build AI computer vision applications without writing any code, making it accessible to non-developers.

Simplifies the process of labeling, training, deploying, and monitoring AI models.

Streamlines the labeling process of datasets, enabling users to quickly annotate images with a few clicks.

Facilitates the training of models with imported labeled datasets, featuring an AutoML engine for optimal configuration selection.

Offers seamless deployment of trained models to cloud platforms like AWS, GCP, or Azure.

Provides tools for efficient annotation of large volumes of image data.

Enables users to create and train models for specific object detection and segmentation tasks.

Allows for building and training models tailored for classification applications.

Manages and coordinates machine learning tasks, optimizing resource allocation and enhancing performance.

Build applications without coding expertise.

Flexibly initiate tasks at various stages of the workflow.

Easy upload process for images requiring labeling.

Support for various types of image annotations.

Ability to download labeled datasets post-processing.

Choose from different training types and configurations.

Automatically searches for the best model configurations.

Allows users to import pre-trained models for deployment.

Deploy models directly to popular cloud platforms.

Offers software development kits for building customized applications.

Tools for scheduling, monitoring, and controlling machine learning jobs.

Utilities to ensure optimal performance of AI applications.