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The Vision Computing API is designed to make computer vision accessible, scalable, and easy to integrate into applications. It enables developers to leverage advanced image analysis techniques such as classification, object detection, face recognition, and text extraction through simple REST endpoints. By combining pre-trained models with support

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The Vision Computing API is a powerful tool designed to bring computer vision capabilities into applications with ease. It provides endpoints for image classification, object detection, face recognition, and text extraction, helping developers integrate intelligent vision features without building models from scratch.

Features

Image Classification – Categorize images into predefined classes.

Object Detection – Identify and locate multiple objects within an image.

Face Detection & Recognition – Detect and recognize human faces.

Text Extraction (OCR) – Extract text from images with high accuracy.

Custom Model Support – Deploy and use your own trained models.

Simple REST API – Easy-to-use endpoints for quick integration.

Installation

Clone the repository:

git clone https://github.com/mahmoud9876/vision-computing-api.git

Install dependencies:

pip install -r requirements.txt

Contributing

Contributions are welcome! Please check the CONTRIBUTING.md file for guidelines.

License

This project is licensed under the MIT License.

Acknowledgements

Thanks to all contributors and the open-source community for their valuable support.

🚀 Build smarter applications with Vision Computing API!

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The Vision Computing API is designed to make computer vision accessible, scalable, and easy to integrate into applications. It enables developers to leverage advanced image analysis techniques such as classification, object detection, face recognition, and text extraction through simple REST endpoints. By combining pre-trained models with support

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