image-classification-layout-customization and image-classification-mnist

These two applications are competitors, as both are full-stack image classification apps, with the first specializing in Inception-ResNet-v2 classification for user-selected images, and the second focusing on MNIST classification.

Maintenance 6/25
Adoption 5/25
Maturity 16/25
Community 14/25
Maintenance 2/25
Adoption 6/25
Maturity 16/25
Community 15/25
Stars: 14
Forks: 3
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 20
Forks: 5
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About image-classification-layout-customization

BobsProgrammingAcademy/image-classification-layout-customization

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.

This is an example image classification application. It takes an image you select as input and tells you what it "sees" in the image. This tool is for developers who want to learn how to build a web application that includes an image classification feature and integrate machine learning models.

web-development machine-learning-integration full-stack-development frontend-customization backend-setup

About image-classification-mnist

BobsProgrammingAcademy/image-classification-mnist

An image classification app built using TensorFlow 2, Django 3, Django REST Framework 3, React 17, and Material UI 5.

This is a basic template for building web applications that classify handwritten digits. You input a drawn digit, and the application identifies which number it is. It's designed for developers who want a full-stack example of an image classification app.

web-development machine-learning-apps full-stack-development image-recognition-template tensorflow-django-react

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