Learn how to train Object Detection and Semantic Segmentation models for mobile, and integrate them into your app.
- Free tutorial
- Rating: 3.3 out of 53.3 (43 ratings)
- 6,528 students
- 1hr 52min of on-demand video
- Created by Alexey Korotkov
- English
What you’ll learn
- 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
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- 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
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Course content
7 sections • 18 lectures • 1h 52m total lengthCollapse all sections
Introduction1 lecture • 1min
- Introduction01:23
Computer Vision Overview2 lectures • 9min
- What is Computer Vision?04:47
- What is Object Detection and Semantic Segmentation04:30
Tools for creating datasets and training models3 lectures • 28min
- Tools for Creating Images Dataset and Images Labeling10:15
- Tools for Training Computer Vision Neural Networks14:57
- MakeML overview and initial setup02:56
Image Datasets5 lectures • 38min
- Creating Object Detection Dataset09:20
- Object Detection Dataset Formats06:35
- Creating Semantic Segmentation Dataset06:14
- Where to find Datasets: Dataset Store07:09
- Images Dataset Augmentation08:31
Training Object Detection and Semantic Segmentation Models1 lecture • 7min
- Optimizing Model Training Hyperparameters07:04
Project #1: Dribble App3 lectures • 15min
- Dribble App Dataset Preparation03:37
- Dribble App Model Training and Running on Mobile03:10
- Dribble App iOS implementation08:13
Project #2: Potato Computer Vision Scales3 lectures • 13min
- Potato Scales Dataset Preparation03:27
- Potato Scales Model Training and Results of Training07:04
- Potato Scales iOS App integration02:54
