welcome to my new course ‘YOLO Custom Object Detection Quick Starter with Python’. This is the fourth course from my Computer Vision series.
As you know Object Detection is the most used applications of Computer Vision, in which the computer will be able to recognize and classify objects inside an image.
We will be specifically focusing on (YOLO), You only look once which is an effective real–time object recognition algorithm which is featured in Darknet, an open source neural network framework
This course is equally divided into two halves. The first half will deal with object recognition using a predefined dataset called the coco dataset which can classify 80 classes of objects. And the second half we will try to create our own custom dataset and train the YOLO model. We will try to create our own coronavirus detection model.
Let’s now see the list of interesting topics that are included in this course.
At first we will have an introductory theory session about YOLO Object Detection system.
After that, we are ready to proceed with preparing our computer for python coding by downloading and installing the anaconda package and will check and see if everything is installed fine.
Specification: Computer Vision: YOLO Custom Object Detection with Colab GPU
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