In this video, we present an image classification app built using Django 4, Next.js 12 (React Framework), and Material UI 5. The application uses Inception-ResNet-v2 to classify images selected by the user. Inception-ResNet-v2 is a convolutional neural network created by Google and trained on more than a million images from the ImageNet database.
We will first focus on how to install this image classification app. Next, we will demonstrate how to customize the layout. We will show you how to change the colors, fonts, images, logo, and text displayed on the page.
Source Code on GitHub: https://github.com/BobsProgrammingAcademy/image-classification-layout-customization
00:00 Intro
01:08 Project Overview
02:35 Installation
07:29 Changing Colors and Introduction to Theming in Material UI
13:27 Changing the Image in the Hero Section
15:43 Changing Fonts
17:16 Changing Logo
18:55 Adding a Logo Image
20:37 Changing Text in the Hero Section
21:15 Changing Buttons in the Hero Section
21:29 Changing the App Description
22:41 Outro
Royalty Free Music from Bensound: https://www.bensound.com/
The other video mentioned in this tutorial: https://www.youtube.com/watch?v=r8M4pWzd16Y
#MachineLearning #ImageClassification #Django #NextJS #React
#Python #JavaScript #MaterialUI #MUI #InceptionResNetV2 #CNN #ConvolutionalNeuralNetwork
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Machine Learning Web App Project | Django, Next.js (React framework) & Material UI | Free Download | NatokHD