Course Details

Intermediate Computer Vision

Overview

  • Course Date:

    TBA

  • Registration Period:

    TBA

  • Duration/Frequency:

    16 hours / 2 days

  • Mode of Training:

    Face-to-Face & Practical Training

*Please note that once the maximum class size is reached, the online registration will be closed. You may register your interest, and would be notified if there is a new run.

Course Objective

This course introduces image processing techniques in computer vision, application of machine learning in computer vision and advanced pre-trained neural network models for computer vision solution.

Participants will be equipped with necessary image processing techniques to pre-process data for building and deploying high accurate computer vision pipeline. They will also be equipped with machine-learning and deep learning skills to develop and train the models for complex and critical tasks such as healthcare image anomaly detection and wall crack detection.

Participants will also gain performance metrics knowledge to evaluate computer vision models’ accuracy, precision, recall, etc., fine-tune parameters and improve the system.

More Information

Intel-Logo

With support from Intel, selected content from Intel® Digital Readiness Program material is included in this short course as supplementary content to enhance the relevance of this course to the Industry and to better support learners in appreciation of the applicability of the concepts covered.