Machine learning focuses on making machines act like a person, while computer vision seeks to imitate the great capabilities of the human's visual world

What is a challenge that comes with comparing the perception of human beings to NN when creating a computer vision model?

Machines view images as numbers that symbolize standalone pixels, which makes it difficult for machines to examine large data size

What is a great challenge when engaging machines in compound visual tasks?

Machines view images as complex shapes, which makes it difficult for machines to examine large data size

Study Notes

Machine learning and computer vision are two aspects of AI that utilize intelligent algorithms to discover, examine, and process patterns from visual information.
Machine learning technology focuses on how to make machines learn and act like a person, while computer vision seeks to imitate the great capabilities of the human's visual world.
Computer vision is harder than machine learning because of the challenge that comes with comparing the perception of human beings to NN.
CV aims to come up with autonomous systems that can carry out similar tasks that a person's visual system can carry out and even supersede them in many ways, but it is a complex system and not easy to achieve.
Machines view images as numbers that symbolize standalone pixels, which makes it difficult for machines to examine large data size when creating a computer vision model. Additionally, engaging machines in compound visual tasks is a great challenge.

Test your knowledge of machine learning and computer vision with this quiz. Explore the differences between machine learning and computer vision, and understand the challenges and complexities involved in developing computer vision models.