# cv-training-and-inference-openvino

**Repository Path**: mirrors_intel/cv-training-and-inference-openvino

## Basic Information

- **Project Name**: cv-training-and-inference-openvino
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-10-24
- **Last Updated**: 2025-10-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DISCONTINUATION OF PROJECT #  
This project will no longer be maintained by Intel.  
Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.  
Intel no longer accepts patches to this project.  
 If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the open source software community, please create your own fork of this project.  
  
# Overview  
This repository contains computer vision use cases built using Intel's different AI components with a focus on the OpenVINO™ toolkit. Each use case is supported with detailed documentation present in the respective folder.
  
  


  
| Use Case Name   |      Description      |  Folder Name |
|:--------|:-------------|:-----|
| Habana® Gaudi® Processor Training and Inference using OpenVINO™ Toolkit for U-Net 2D Model |   An End to End computer vision workflow with full Training on Habana® Gaudi® to achieve state of the art accuracy for Image Segmentation use case with Medical Decathlon dataset, and, Inference, post-training quantization using OpenVINO™ toolkit on AWS* cloud with Intel® hardware. | [gaudi-segmentation-unet-ptq](https://github.com/intel/cv-training-and-inference-openvino/tree/main/gaudi-segmentation-unet-ptq) |