Overview
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Explore a hands-on computer vision workshop demonstrating how to leverage OpenShift as an AI/ML platform. Dive into various computer vision use cases that showcase end-to-end development and deployment of models and applications to both cluster and edge environments. Follow along as the presenter guides you through essential steps, including image collection, annotation, dataset preparation, model training, and inferencing. Learn how to utilize OpenShift tools and pipelines to streamline your AI/ML workflows. Gain practical insights into working with real-world examples such as car and train detection. Access the accompanying repository for a comprehensive understanding of the demonstrated techniques and implementations.
Syllabus
- Start
- Introduction
- Tools for the Demo
- Setup
- Collect Images
- Annotation
- Export the Dataset
- Upload Dataset
- Run Training
- The Pipeline
- Inferencing with our model
- The Cars
- The Trains
- Wrap Up
Taught by
Red Hat Developer