Descriptions

Introduction to Computer Vision and Image Processing, Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries. As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection. This is a hands-on course and involves several labs and exercises. Labs will combine Jupyter Labs and Computer Vision Learning Studio (CV Studio), a free learning tool for computer vision. CV Studio allows you to upload, train, and test your own custom image classifier and detection models. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud. This course does not require any prior Machine Learning or Computer Vision experience. However, some knowledge of the Python programming language and high school math is necessary.

What you’ll learn

• Describe the applications of computer vision across different industries.

• Apply image processing and analysis techniques to computer vision problems.

• Utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.

• Create an image classifier using Supervised learning techniques.

Specificatoin of Introduction to Computer Vision and Image Processing

• Publisher : Coursera
• Teacher : Aije Egwaikhide
• Language: English
• Level : All Levels
• Lectures : 6
• Duration : 2 weeks at 10 hours a week

Content of Introduction to Computer Vision and Image Processing

Requirements

• No prior experience required

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Subtitle : English

Quality: 720p

Version 2026/6 has increased by 2 videos compared to 2024/11.

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Password file(s): www.downloadly.ir

File size

382 MB