Computer Vision For iOS Developers Course

Learn how to train Object Detection and Semantic Segmentation models for mobile, and integrate them into your app.
Rating: 3.6 out of 5 (20 ratings)
5,558 students
Computer Vision For iOS Developers Course
Rating: 3.6 out of 5 (20 ratings)
5,556 students
How to create, label and annotate your own Image Datasets
What is Object Detection and how to train Object Detection neural network
What is Semantic Segmentation and how to train Semantic Segmentation neural network
How to integrate Object Detection and Semantic Segmentation Neural networks into iOS app
Learn how to create an iOS app that will recolor your nails
Learn how to create an iOS app that will detect the number of touches of the ball

Requirements

  • Must have clear understanding of iOS Development Basics
  • MacOS system
  • An iPhone and Apple developer account to implement some of the projects

Description

Welcome to Computer Vision for iOS developers Course.
In this course, you'll learn the basics needed to understand Object Detection and Semantic Segmentation, and by the end of the course, you'll be able to train models that you can use in your apps.

We will cover the next topics in this course:

1) What is Computer Vision
2) What is Object Detection and Semantic Segmentation
3) Tools for Creating Image Datasets and labeling them
4) Image Dataset Augmentation
5) Tools and Environments for training neural networks
6) Integration of CoreML and TFLite models into iOS apps
7) 2 projects that use Computer Vision in real-world applications

This course is made using https://makeml.app product.

Who this course is for:

  • iOS Developers who want to learn to train Object Detection and Semantic Segmentation neural networks by themselves
  • Startup Founders that want to leverage AI in their products

Course content

7 sections • 18 lectures • 1h 52m total length
  • Introduction
    01:23

Instructor

CEO at MakeML
Alexey Korotkov
  • 3.6 Instructor Rating
  • 20 Reviews
  • 5,556 Students
  • 1 Course

Founder and CEO at MakeML.

MakeML is a macOS app, that helps iOS developers to train Object Detection and Semantic Segmentation Neural Networks.

I'm basically a Computer Vision engineer focusing on mobile applications.

Previously I was an iOS Software Developer mostly working in Swift, but also have strong experience with Objective-C.