Build your OBJECT DETECTION SOFTWARE - Crash course with Opencv and Python (2022)

Course Feature

Cost

Free
Provider

Youtube
Certificate

No Information
Language

English
Start Date

2022-01-11
Learners

No Information
Duration

No Information
Instructor

Pysource

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3.0

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Learn the basics of Build your OBJECT DETECTION SOFTWARE - Crash course | with Opencv and Python (2022)

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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 [July 24th, 2023]

This course, Build your OBJECT DETECTION SOFTWARE - Crash course with Opencv and Python (2022), is designed to teach students the basics of object detection software development. It is a crash course, meaning that it is designed to be completed in a short amount of time, and is ideal for those who are looking to quickly learn the fundamentals of object detection software development. The course is divided into two parts. The first part is a full Computer Vision course, which covers the fundamentals of object detection software development. This includes topics such as image processing, feature extraction, object detection algorithms, and more. The second part is a training Mask R-CNN PRO (Notebook + Mini-Course), which provides students with a hands-on experience in developing object detection software. The course is taught using OpenCV and Python, two of the most popular programming languages for computer vision. OpenCV is a powerful library for image processing and computer vision, and Python is a versatile language that is easy to learn and use. At the end of the course, students will have a working knowledge of object detection software development, and will be able to create their own object detection software. They will also have the skills to apply their knowledge to other computer vision projects. This course is ideal for those who are interested in learning the basics of object detection software development, and for those who are looking to quickly learn the fundamentals of computer vision. It is also suitable for those who are looking to apply their knowledge to other computer vision projects.

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