Python - Building Object Detection Models with OpenVINO (Intel) - HackerDojo
ABOUT THE WORKSHOP 4: Building Object Detection Models with OpenVino
IMPORTANT: If you missed sessions 1-3 please check the repo here and the YouTube video of the session.
Introduction to object detection and its applications.
Building a simple object detection model using a pre-trained model.
Converting the model to the OpenVINO format and optimize it for different hardware architectures.
Deploying the optimized model and measuring its performance.
GOOD FOR
Beginners/Intermediate to Python/Programming/ML and Intermediate/Advanced who want to help others learn.
WHAT YOU NEED
Laptop if you want to follow along on the examples.
Have access to a Jupyter Notebook (Look at session 1 on how to setup).
Speaker
Jose Maria Ruiz de Velasco (Chepe)
is an Electrical Engineer and has been a founder for the last 17 years, At his last startup he used Python to develop a B2B platform for document recognition that uses multiple Deep Learning models to reconcile the data in paper documents with databases, make them searchable and provide insights to the business.
Today, Picaio.ai is processing more than 750,000 documents per month and growing every day.