You will be able to develop your own image segmentation model by learning the concepts of image segmentation step by step. In this course, you will have the opportunity to learn the most important concepts of image segmentation, which is one of the most advanced application areas of Computer Vision, through practical applications. Additionally, you will learn all the general processing steps required to develop your own image segmentation model.
After learning the basics of image segmentation, we will gradually start making applications. We will first develop a Single Class Image Segmentation model and then a Multi Class Image Segmentation model. We will examine different data processing techniques to learn how to develop our own model and we will use these techniques to develop our own model with Keras and perform image segmentation applications. We will conduct our training from start to finish on Google Colabratory. In this way, you will have the opportunity to discover the capabilities of Google Colabratory.
You will be able to participate in Kaggle competitions with this course. The subject order will be as follows:
1. Introduction
2. Google Colabratory
3. Basics of UNet
4. Binary Image Segmentation
5. Multiclass Image Segmentation
When you complete the course, you will have extensive knowledge about Image Segmentation with UNet, as well as receive free technical advice through the Visual Analysis channel on Discord. Together with the team we have established, we aim to help people in all kinds of competitions and projects. Whether you are participating in national or international projects, or someone who wants to start a business in this field, you will be able to complete all kinds of projects in the best way with this course and technical consultancy provided by our community !