5 Best Online Computer Vision Courses for Beginners.
- February 12, 2024
- 699
Computer vision technology and Python are becoming very popular career choices for computer vision engineers, as the field is developing and bringing a lot of tech and jobs.
We have assembled resources for well-structured online courses on computer vision. As a result, we assessed the most well-liked courses and compiled a list to assist you in choosing which one to attend.
1. Computer Vision and Image Processing by IBM
Type: Free
Level: Beginner
Duration: 21 hours
You will gain an understanding of computer vision and its numerous applications in a variety of industries, including face recognition, robots, and autonomous cars, by taking this course, which is suitable for beginners. You can upload, train, and test your own unique image classifier and detection models using the interactive activities included in the free lectures. You will develop a basic web application for computer vision and upload it to the cloud. Prior knowledge of computer vision or machine learning is not required for this course. However, some familiarity with the Python programming language is necessary beforehand.
2. Computer Vision Basics
Type: Free
Level: Intermediate
Duration: 13 hours
Beginners can learn more about computer vision and its applications in this course on computer vision. Artificial intelligence (AI), neurology, and digital signage processing are all covered in the course. This course is intended for students who are new to Mata lab and computer vision, as well as those who want a refresher on the subject.
3. Python for Computer Vision
Type: Paid (13 USD)
Level: Intermediate
Duration: 14 hours
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The goal of this online course is to teach students how to use Python programming for computer vision. To accomplish computer vision tasks on photos and videos, it therefore contains an introduction to Python and the OpenCV library. Before moving on to image processing using OpenCV, the course also covers numerical processing and picture modification using the NumPy library. The next section will cover object tracking and face detection on webcam video streams. The course concludes with a discussion of the most recent deep-learning networks. You must have a thorough understanding of Ubuntu and Python to complete the course.
Related Article: 5 Free SQL Certification Courses In 2024.
4. Python Projects: Pillow, Tesseract, and OpenCV
Type: Free
Level: Intermediate
Duration: 4 months
This University of Michigan online course provides an overview of the three Python 3 libraries that can be used to build a practical computer vision project. As a result, the course offers free lectures on using third-party APIs for Python image processing, optical character recognition (OCR), and face recognition using the well-known OpenCV package. This course is very useful if you want to pursue a career in Computer vision technology.
5. Computer Vision by Georgia Tech
Type: Free
Level: Intermediate
Duration: 4 months
Georgia Tech has developed a useful course for those new to computer vision. Basic CV theories, including image creation, feature identification, motion estimation, and camera imaging geometry, are covered in the course. It also goes over the fundamentals of analyzing photos and extracting structural information using low- to mid-level algorithms.
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