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Advanced Computer Vision Course

What will I learn?

Improve your Business Intelligence skills with our Advanced Computer Vision Course. Delve into modern techniques such as object detection, demographic analysis, and tracking algorithms. Learn data pre-processing, including image resizing and normalisation, and explore data collection strategies for different video datasets. Gain insights through visualisation techniques and pattern recognition in retail environments. Develop robust video processing pipelines and use pre-trained models like YOLO and OpenPose for excellent results. Register now to convert data into actionable insights.

Apoia's Unique Features

Lifetime access to online courses
Certificate adhering to educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course schedule
Instant feedback on practical activities
Study at your convenience, without needing an internet connection

Develop skills

Strengthen the development of the practical skills listed below

Master object detection: Improve retail insights with advanced detection methods.

Develop tracking algorithms: Refine customer analysis with accurate tracking approaches.

Create effective reports: Turn data into actionable business intelligence insights.

Utilize data augmentation: Increase model accuracy with varied and enhanced datasets.

Implement video pipelines: Simplify data processing for efficient business solutions.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but it offers practical and relevant knowledge for your professional journey.