Duration: 1h 39m | Video: .MP4 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | Size: 743 MB
Genre: eLearning | Language: English
Train Image recognition models(without coding) for Flutter with just drag-drop | Build modern world Flutter Applications.
Have you ever wonder 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 stone, and so on.
So our main goal of this course is to learn
training 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 modelBuilding 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 perfog 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.
:
You need to have very little knowledge of Application Development in Flutter.
You should have Android Studio installed on your system
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