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Train Image Recognition models and build Flutter Application

Train Image recognition models for Flutter and build Flutter Applications | Smart computer vision based Flutter Apps
5.0
5.0/5
(1 reviews)
32 students
Created by

9.0

CourseMarks Score®

9.7

Freshness

9.2

Feedback

7.6

Content

Platform: Udemy
Video: 1h 39m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.7 / 10
This course was last updated on 9/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.2 / 10
We analyzed factors such as the rating (5.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.6 / 10
Video Score: 7.8 / 10
The course includes 1h 39m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.6 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Have you ever wondered that how Google Len’s can recognize different things?
Well, that is something we will cover in this course. So, we will learn to build smart Flutter applications that can recognize different things like a breed of a dog, type of precious stones, and so on.
So our main goal of this course is to learn
•training machine learning and computer vision model that can recognize different things without any code
•using those trained models in Flutter
Course Structure:
The course is divided into two main parts
•Training dog breed recognition model
•Building Flutter Application
Training dog breed recognition model
So, we will start by learning the basics of training computer vision models. Then we will learn to
•Collect and arrange dataset from Kaggle
•Train dog breed recognition model on that dataset for Flutter
So after covering that part you will be able to train your own models to recognize different things with zero coding.

Building Flutter Application
After training the dog breed recognition model in the second, we will learn to use that model in Flutter applications. So we will learn to use that model both with
•Images in Flutter
•Live Camera Footage in Flutter
So in that application, we will perform
•Dog breed recognition using live camera footage in Flutter
•Dog breed recognition using images from the gallery in Flutter
•Capturing images using a camera and performing dog breed recognition in Flutter
So after completing that part you will be able to use computer vision models(tflite) both with images and live camera footage in Flutter.
The course will prepare you to build modern world smart Flutter applications. So, you can Implement your own vision-based idea in Flutter and earn a handsome amount from it.
Requirements:
•You need to have very little knowledge of Application Development in Flutter.
•You should have Android Studio installed on your system

You will learn

✓ Learn use of image recognition models in Flutter Applications
✓ Train image recognition models for Flutter with zero coding
✓ Using image recognition models with Images and Live camera footage in Flutter
✓ Learn to implement your own vision base ideas in Flutter
✓ You will have a beautiful fully functional dog breed recognition application
✓ Build computer vision based applications for Android & IOS with single codebase in Flutter

Requirements

• Little knowledge of Application development in Flutter

This course is for

• Anyone who want to build computer vision based Flutter applications
• Anyone who want to train vision models for Flutter without coding

How much does the Train Image Recognition models and build Flutter Application course cost? Is it worth it?

The course costs $12.99. And currently there is a 85% discount on the original price of the course, which was $84.99. So you save $72 if you enroll the course now.

Does the Train Image Recognition models and build Flutter Application course have a money back guarantee or refund policy?

YES, Train Image Recognition models and build Flutter Application has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Train Image Recognition models and build Flutter Application course, but there is a $72 discount from the original price ($84.99). So the current price is just $12.99.

Who is the instructor? Is Hamza Asif a SCAM or a TRUSTED instructor?

Hamza Asif has created 8 courses that got 471 reviews which are generally positive. Hamza Asif has taught 52,757 students and received a 4.0 average review out of 471 reviews. Depending on the information available, Hamza Asif is a TRUSTED instructor.
Android Developer | Instructor | Flutter Developer
Experienced Mobile Developer, specialized in Mobile Machine Learning using Tensorflow lite, ML Kit, and Google cloud vision API. Leading Android Machine learning instructor with over 50,000 students from 150 countries. I am an enthusiastic developer with a strong programming background and possess great app development skills. I have developed a bunch of native and cross-platform apps in the past and satisfied all of my clients. It has been +4 years doing Mobile development and providing support for Android Applications. Empowering mobile Applications using Machine Learning and Computer vision is my core skill.Powering Android Application with ML really fascinates me. So I learned Android development and then Machine Learning. I developed Android applications for several multinational organizations. Now I want to spread the knowledge I have. I’m always thinking about how to make difficult concepts easy to understand, what kind of projects would make a fun tutorial, and how I can help you succeed through my courses.Show moreShow less

9.0

CourseMarks Score®

9.7

Freshness

9.2

Feedback

7.6

Content

Platform: Udemy
Video: 1h 39m
Language: English
Next start: On Demand

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