[OpenCV] Python Deep Learning Image Processing Project 2 - Find the Bad Apples!
You will learn how to process images and videos with OpenCV, and how to identify and recognize faces and various objects using deep learning. This is a course where you will learn fun projects such as drowsiness prevention, age and gender identification, counting the number of people passing by, face tracking, and YOLO that finds bad apples and tangerines, along with theories.
458 learners
Level Intermediate
Course period Unlimited
Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Identification
Hello, Nomad Creator students?
Now that we're used to wearing masks, it seems like COVID-19 prevention has become a part of our daily lives. I hope you're all staying healthy.
I created a new course called ' Deep Learning Web Service Project 1 - Basics. Object Detect Defective Product Identification' .
We have summarized the techniques used to service deep learning using mobile web apps used in actual artificial intelligence image recognition projects. These days, many people want to service codes made with Python, TensorFlow, Keras, YOLO, and OpenCV directly on mobile.
We'll learn step by step how to make this.
[OpenCV] Python Deep Learning Image Processing Project - Find Son Heung-min! YOLO object recognition program created in the process
[OpenCV] Python Deep Learning Image Processing Project 2 - Find the Bad Apples! Using the Custom Yolo Model Created in the Process to Identify Bad Products
This is a service that identifies objects (Object Detection) by taking pictures directly from the desktop web or mobile app. 
As a follow-up, we are also preparing a deep learning web service project that uses face recognition technology to identify faces, age, and gender and manage access.
