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Updated in [April 29th, 2023]

By the end of this course, you will be able to create and train your own Object Detection and Semantic Segmentation models, and integrate them into your iOS apps.

[Applications]


After this course, it is suggested that the application of this course be used to create iOS apps that use Object Detection and Semantic Segmentation models. These apps can be used to detect objects in images, recognize objects in videos, and segment images into different classes. Additionally, the course can be used to create apps that can be used to recolor nails or detect the number of touches of a ball.

[Career Paths]
The career paths recommended to learners of this course are:

1) Computer Vision Engineer: Computer Vision Engineers are responsible for developing and deploying computer vision algorithms and models for various applications. They use a variety of tools and techniques to create and train models, and integrate them into applications. They also need to be familiar with the latest trends in computer vision and machine learning.

2) iOS Developer: iOS Developers are responsible for developing and deploying iOS applications. They need to be familiar with the latest trends in mobile development, and be able to integrate computer vision models into their applications.

3) Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning algorithms and models for various applications. They need to be familiar with the latest trends in machine learning and computer vision, and be able to integrate models into applications.

4) Data Scientist: Data Scientists are responsible for analyzing and interpreting data to gain insights and make predictions. They need to be familiar with the latest trends in machine learning and computer vision, and be able to use the data to create models and insights.

[Education Paths]
For learners interested in pursuing a degree in Computer Vision, there are a few paths to consider.

1) Bachelor of Science in Computer Science: This degree program provides a comprehensive overview of computer science, including topics such as algorithms, data structures, programming languages, operating systems, and computer networks. It also covers the fundamentals of computer vision, such as image processing, computer vision algorithms, and machine learning. This degree is ideal for those who want to develop a strong foundation in computer science and computer vision.

2) Master of Science in Computer Vision: This degree program focuses on the application of computer vision in various fields, such as robotics, medical imaging, and autonomous vehicles. It covers topics such as image processing, computer vision algorithms, machine learning, and deep learning. This degree is ideal for those who want to specialize in computer vision and develop advanced skills in this field.

3) Doctor of Philosophy in Computer Vision: This degree program focuses on the research and development of computer vision algorithms and systems. It covers topics such as image processing, computer vision algorithms, machine learning, and deep learning. This degree is ideal for those who want to pursue a career in research and development in the field of computer vision.

The development of computer vision is rapidly advancing, and the demand for professionals with expertise in this field is increasing. With the right degree, learners can gain the skills and knowledge needed to pursue a successful career in computer vision.