open_model_zoo: a collection of optimized pre-trained deep learning models and tools for high-performance inference

What it solves

It provides a collection of optimized, pre-trained deep learning models and tools to help developers avoid the time-consuming process of training their own models from scratch, speeding up the development and deployment of high-performance inference applications.

How it works

The repository acts as a "model zoo own" containing both Intel-specific and public pre-trained models. It includes a Model Downloader tool to automate the acquisition of these models and an Accuracy Checker to validate the model's performance. It also provides a set of demos that show how to integrate these models with the OpenVINO’s Toolkit for inference.

Who it’s for

Developers building AI applications that require high-performance inference and want to use ready-made, optimized models rather than training their own.

Highlights

• Optimized pre-trained models from both Intel and public sources.
• Model Downloader for automated model acquisition.
• Accuracy Checker for validating model precision.
• Ready-to-use demos demonstrating model implementation with OpenVINO.