This framework simplifies the entire lifecycle of computer vision model development, from training to deployment, using a low-code approach.
OpenVINO™ Training Extensions is a low-code transfer learning framework for computer vision, letting users train, infer, optimize, and deploy models. It supports various model architectures and learning methods through its API and CLI commands, simplifying tasks like image classification and action recognition. The system utilizes "recipes" to consolidate model building information for specific tasks.
This framework simplifies the entire lifecycle of computer vision model development, from training to deployment, using a low-code approach.
Data scientists, ML engineers, or developers aiming to quickly build and deploy computer vision models with OpenVINO should use this, even if they lack deep learning expertise.