image-classification and image-classification-mnist

These are ecosystem siblings—both are reference implementations of the same full-stack image classification architecture (Django backend + frontend framework + ML model) using different ML models (Inception-ResNet-v2 vs. MNIST/TensorFlow) and frontend frameworks (Next.js vs. React) to demonstrate alternative technical choices.

image-classification
40
Emerging
image-classification-mnist
32
Emerging
Maintenance 6/25
Adoption 7/25
Maturity 9/25
Community 18/25
Maintenance 2/25
Adoption 6/25
Maturity 9/25
Community 15/25
Stars: 25
Forks: 12
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

BobsProgrammingAcademy/image-classification

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

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.

Related comparisons

image-classification and image-classification-layout-customization

Scores updated daily from GitHub, PyPI, and npm data. How scores work