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This repository is a practical example of building a Django-based API for image recognition using a pre-trained ResNet model, making it accessible for developers interested in similar projects.

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Description

This GitHub repository contains a Django-based RESTful API that leverages a pre-trained ResNet deep learning model for image recognition. The API allows users to submit images and returns predictions and confidence scores for objects or subjects recognized within those images. It's an excellent example of integrating machine learning models into web applications.

Key Features

Utilizes Django, a robust Python web framework, for the backend.
Incorporates a pretrained ResNet-50 model for image classification.
Accepts image uploads via API requests or base64-encoded images.
Provides predictions with confidence scores for recognized objects.
Supports easy deployment to various hosting platforms.

Usage

Clone the repository to your local environment.
Set up the Django project and install necessary dependencies.
Run the Django development server.
Use API endpoints to send images and receive predictions.

Requirements

Python
Django
TensorFlow/Keras
Django REST framework
PIL

Contributions

Contributions and improvements are welcome. Feel free to fork the repository, make enhancements, and create pull requests.

License

This project is open-source and available under the MIT License.

Author

Younes Belouche

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This repository is a practical example of building a Django-based API for image recognition using a pre-trained ResNet model, making it accessible for developers interested in similar projects.

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