Build A Pose Detection Application in Flutter | Human Pose Estimation using Tensorflow Lite

Learn to perform pose estimation in flutter with both images and live camera footage. Use coupon code "AIFORMOBILE" to avail 92% off
🚀 Get the full Machine Learning for Flutter The Complete 2024 Guide

🚀🚀🚀🚀🚀🚀Learn Use of Machine Learning & AI in Flutter with our Flutter Machine Learning Courses
******Use coupon code "AIFORMOBILE" to avail discount.*******

• Flutter & ML: Train Tensorflow Lite models for Flutter

• Flutter & Google Gemini - Build Chatbots and Assistants in Flutter

• Train Image Classification Models & build Smart Flutter Apps 2024

• Flutter & OCR - Build Document Scanner Clone in Flutter 2024

• Face Recognition & Detection in Flutter -The complete 2024 Guide

• Train Object Detection & Image Classify models for Flutter

• Build an AI Gallery App in Flutter with Circle to Search

• ChatGPT & Flutter: Build AI based Apps for Android & IOS

• Machine Learning for Flutter - The Complete 2024 Guide

In this lecture, we will learn to build pose estimation applications in flutter for Android and IOS. We will use the poseNet model to detect human poses in Android and IOS
.
This lecture is a part of our "Machine Learning use in Flutter, The complete guide course". In that course, we course all Flutter machine learning courses in detail and build more than 15 ML-based flutter applications. So to learn live feed pose estimation and other applications join our course today

The course is divided into three sections
1: Tensorflow lite section
2: Firebase ML Kit section
3: Training ML model section

In the Tensorflow lite section, we will build
1: Image classification application using SSD Mobilenet
2: Object detection application using MobileNet and Yolo
3: Pose estimation using PoseNet model
4: Image Segmentation using DeepLab model
5: Fuel Efficiency Prediction application(Regression model)

In the Firebase ML Kit section, we will build
1: Image Classification
2: Barcode Scanner
3: Text Recognition
4: Text Translation
5: Face detection
applications using Firebase ML kit

In the third section, we will learn to train Image recognition models without knowing any background knowledge of Machine learning. So using some platforms we will train
1: Dog Breed Recognition model
2: Retrain MobileNet to recognize fruits using Transfer learning

So by the end of this course, you will be able
1: Use Firebase ML kit inside Google Flutter dart applications for Android and IOS
2: Use pre-trained Tensorflow lite models inside Android & IOS application using Flutter
3: Train your own Image classification models and build Flutter applications.
4: You'll also have a portfolio of over 15 apps that you can show off to any potential employer.

Sign up today, and look forwards to:
1: HD 1080p video content, everything you'll ever need to succeed as a Google Flutter Machine Learning developer.
2: Building over 15 fully-fledged apps including ones that use Objet detection, Text Recognition, Pose estimation models, and much much more.
3: All the knowledge you need to start building Machine Learning-based app you want
4: Source codes of 15 Applications.

👍 Subscribe for more Flutter ML tutorials like this

Face Recognition & Detection in Flutter -The complete 2023 Guide

Learn to build
• Face Recognition & Detection based attendance & security systems for both iOS & Android in Flutter.
• Use Face Recognition & Detection model with both images and videos in Flutter

CONNECT WITH ME

[brawlboy]

Hi where did you find the documentation for this? How do you know what code you need for this?

[hainguyenvan]

You can build an object detection application with android studio. Using yolo4 to train model?

[zegitalmedia]

Hi, you are doing really great, i need to ask a quick question, i am building an application where i only want the user to be able to take a shot wen his hands are 90 degrees from is body, can this help me achieve that?

[deinemudda]

everything you are using is depreciated unfortunately. :/