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[Artificial Intelligence Computer Vision] Creating a Deep Learning Model with 20 Photos

Let's create your own artificial intelligence model with 20 photos!!!

(3.5) 6 reviews

74 learners

  • songys961355
Computer Vision(CV)

Reviews from Early Learners

What you will gain after the course

  • Basic flow for computer vision!

  • Basic knowledge of artificial intelligence labeling

  • YOLO, a leader in computer vision

  • Artificial intelligence created with my own data!

  • Create your own model with 20 photos!

You can create your own AI with 20 photos!

Artificial intelligence, doesn't it sound difficult just to hear about it?
Shouldn't we learn artificial intelligence mathematics and think about complex processes?

  • You can understand the workflow of artificial intelligence computer vision by removing all the complex details.
  • Non-majors, AI beginners, and those who want to create their own data will all learn the process of creating AI models in a very simple way.

Why should you learn how to build AI models?

While learning how to create a Custom AI Model (my artificial intelligence)
You can find insights that can be applied to all industries.

Leaving aside the complex concept of artificial intelligence,
Simply present the configuration process and methods to be used in object detection systems, or
Learn the most basic flow of computer vision that can be used in CCTV-linked projects.
It can be integrated with industry.

By recognizing and learning my own things
You can create a personal model to check your AI results.

My cognitive model that appears during lectures


Features of this course

SIMPLE IS THE BEST!

  • The content was kept as short as possible to increase immersion.
  • It contains all the minimum features required for artificial intelligence computer vision.

learning skills

It's simple and short, but it gets the point across.

python
A program that runs artificial intelligence

Anaconda
A program that sets up the Python environment

LabelImg
A program that extracts objects from an image and labels them.

YOLOv5
Artificial intelligence itself...bb


Contents by section

Section 0. Setting
Before you begin AI, it's time to mentally prepare yourself, install a few things, and take some photos! (20 photos!!)
Section 1. Annotation
This is a manual step that requires separating objects from the image!
Section 2. Refining
Data cleaning tasks such as reducing and rotating images.
Section 3. Train and Valid
This course prepares you for artificial intelligence learning and lets you check the results through a webcam!

Q&A

Q. Can I do this even if I don't know the first thing about coding?

Although the content includes coding, it is structured so that you can follow along even if you have no prior knowledge of it !

Q. Artificial intelligence, isn't that difficult?

Creating artificial intelligence is difficult and complex.
However, this lecture is about training our data to a model that has already been created through research!
It's not difficult!

Q. What should I do if I don't understand something in the lecture?

Our questions window is always open!
And if you feel it's necessary, I'll upload additional videos on the subject!

Q. What if my computer doesn't have a GPU?

Training may take a long time if you do not have a GPU.
In this case, we recommend using the Google Colab environment and using the GPU.

Recommended for
these people

Who is this course right for?

  • Anyone who needs to understand computer vision!

  • For those who want to go through the process of using YOLO with a light heart

  • I don't know about AI, but I'm someone who wants to create my own results.

  • For those who are bored

Need to know before starting?

  • There isn't much coding involved!

  • A very, very few shell commands

Hello
This is

네~ 안녕하세요 여러분들에게 QGIS를 가르쳐드릴 Q쌤입니다

모르는 것은 언제든 물어봐주세요

우리 모두의 성장을 응원합니다!

Curriculum

All

12 lectures ∙ (43min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

6 reviews

3.5

6 reviews

  • parkgang963638님의 프로필 이미지
    parkgang963638

    Reviews 1

    Average Rating 5.0

    5

    92% enrolled

    It was a short lecture with impact. I enjoyed it.

    • eeuunn96님의 프로필 이미지
      eeuunn96

      Reviews 2

      Average Rating 5.0

      5

      100% enrolled

      It was a great experience for beginners! However, the image quality was low, so it was disappointing that there were parts that had to be clearly understood when looking at things like codes.

      • irda님의 프로필 이미지
        irda

        Reviews 28

        Average Rating 5.0

        5

        100% enrolled

        It helped me a lot to understand. Thank you.

        • melon97512591님의 프로필 이미지
          melon97512591

          Reviews 8

          Average Rating 4.6

          2

          67% enrolled

          It's good because it's short, but it doesn't tell you in advance whether it's only available for version 3.9, and there are a lot of parts that are left out in the middle, so there were quite a few disappointing parts.

          • bak30362629님의 프로필 이미지
            bak30362629

            Reviews 3

            Average Rating 4.0

            2

            83% enrolled

            I am satisfied! It would have been convenient if you had provided a direct link to the site you mentioned as being difficult to find ~ But overall, the quality of the class is good.