Object Detection 101 Course - Including 4xProjects Computer Vision faq

learnersLearners: 1
instructor Instructor: Murtaza's Workshop - Robotics and AI instructor-icon
duration Duration: 5.00 duration-icon

This course provides an introduction to object detection, including its history, performance evaluation metrics, and installation instructions. It covers the basics of running Yolo, and provides four projects to help students gain a better understanding of the concepts. The course is suitable for those with a basic understanding of computer vision.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

This Object Detection 101 Course provides an introduction to the field of object detection. It covers topics such as what object detection is, its history, performance evaluation metrics, and installations. It also covers how to run Yolo, Yolo with a webcam, and Yolo with a GPU. The course also includes four projects: Car Counter, People Counter, PPE Detection Custom Training, and Poker Hand Detector. This course is designed to give students a comprehensive understanding of object detection and its applications.

[Applications]
After completing this course, students should be able to apply the knowledge they have gained to create their own object detection projects. They should be able to use the installations and running Yolo techniques to create projects such as car counters, people counters, PPE detection custom training, and poker hand detectors. Additionally, they should be able to evaluate the performance of their projects using the metrics discussed in the course.

[Career Paths]
1. Computer Vision Engineer: Computer vision engineers are responsible for developing and implementing computer vision algorithms and systems. They use a variety of techniques, such as deep learning, machine learning, and image processing, to create systems that can detect, recognize, and classify objects in images and videos. The demand for computer vision engineers is growing rapidly, as the technology is being used in a variety of industries, such as healthcare, automotive, and robotics.

2. Robotics Engineer: Robotics engineers are responsible for designing, building, and programming robots. They use a variety of technologies, such as computer vision, machine learning, and artificial intelligence, to create robots that can interact with their environment and perform tasks autonomously. Robotics engineers are in high demand, as the technology is being used in a variety of industries, such as manufacturing, healthcare, and agriculture.

3. Autonomous Vehicle Engineer: Autonomous vehicle engineers are responsible for developing and implementing autonomous vehicle systems. They use a variety of technologies, such as computer vision, machine learning, and artificial intelligence, to create systems that can detect, recognize, and classify objects in images and videos. Autonomous vehicle engineers are in high demand, as the technology is being used in a variety of industries, such as automotive, logistics, and transportation.

4. Machine Learning Engineer: Machine learning engineers are responsible for developing and implementing machine learning algorithms and systems. They use a variety of techniques, such as deep learning, reinforcement learning, and natural language processing, to create systems that can detect, recognize, and classify objects in images and videos. The demand for machine learning engineers is growing rapidly, as the technology is being used in a variety of industries, such as healthcare, finance, and retail.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, computer architecture, and algorithms. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is becoming increasingly popular as the demand for computer science professionals continues to grow.

2. Master of Science in Artificial Intelligence: This degree program focuses on the development of artificial intelligence systems and their applications. It covers topics such as machine learning, natural language processing, computer vision, and robotics. This degree is ideal for those who want to pursue a career in the field of artificial intelligence and machine learning.

3. Master of Science in Computer Vision: This degree program focuses on the development of computer vision systems and their applications. It covers topics such as image processing, object recognition, and 3D reconstruction. This degree is ideal for those who want to pursue a career in the field of computer vision and image processing.

4. Doctor of Philosophy in Computer Science: This degree program provides students with an in-depth understanding of computer science fundamentals, including programming, software engineering, computer architecture, and algorithms. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is ideal for those who want to pursue a career in research and academia.

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faq FAQ for Computer Vision Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

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Q3: Can I take this course for free?

Yes, this is a free course offered by Youtube, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 1 people have participated in this course. The duration of this course is 5.00 hour(s). Please arrange it according to your own time.

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