Image Classification Layout Customization screenshot

Image Classification Layout Customization

Updated: 15 Oct 2025
14 Stars

An image classification app built using Django 4, Django REST Framework 3, Next.js 12, and Material UI 5. The app uses Inception-ResNet-v2 to classify images selected by the user.

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Overview

The Image Classification app is an innovative solution that utilizes cutting-edge technologies to deliver powerful image analysis capabilities. Built using Django 4, Django REST Framework 3, Next.js 12, and Material UI 5, this application is designed to help users effortlessly classify images using advanced neural network models like Inception-ResNet-v2. Its sleek design, with both dark and light mode options, makes it accessible and visually appealing for all users.

Whether you are a developer looking to enhance your machine learning skills or a business seeking to implement image classification in your workflow, this app offers a robust foundation for customization and further development. With straightforward installation steps and extensive customization options, you’ll find that getting started is a breeze.

Features

  • Efficient Classification: Utilizes the powerful Inception-ResNet-v2 model for highly accurate image classification.
  • Dark/Light Mode: Offers users a choice between dark and light themes to enhance visual comfort.
  • Easy Installation: Provides a step-by-step guide to set up the backend and frontend environments seamlessly.
  • Customizable UI: Users can easily modify colors, fonts, logos, and various elements to create a personalized experience.
  • Responsive Design: Built with Material UI 5, ensuring that the application looks great on all devices.
  • Integration with Django REST: Leverages Django’s robust framework to manage backend functionalities efficiently.
  • Local Hosting: Run the application locally at http://localhost:3000 to test and develop further.
  • Open Source: Released under the MIT license, encouraging collaboration and improvement from the developer community.