Welcome to the Visual AI Projects repository! 🎉
This repository is dedicated to showcasing various projects that leverage visual artificial intelligence technologies. These projects are built using state-of-the-art libraries and frameworks in the field of AI and computer vision. Whether you are a seasoned AI practitioner or a curious beginner, this repository has something for you.
- Face Recognition Project: A project that uses deep learning models to recognize and verify human faces.
- Object Detection Project: A project aimed at detecting and classifying objects within images and videos.
- Medical Image Processing Project: A project focused on processing and analyzing medical images to assist in diagnosis and treatment.
- Face Recognition Project: This project utilizes convolutional neural networks (CNNs) to accurately identify and recognize human faces in images. It can be used in security systems, user authentication, and more.
- Object Detection Project: Using advanced object detection algorithms like YOLO (You Only Look Once) and SSD (Single Shot MultiBox Detector), this project can detect and classify multiple objects in real-time.
- Medical Image Processing Project: This project applies AI techniques to process medical images such as X-rays, MRIs, and CT scans. It helps in identifying anomalies, segmenting organs, and improving diagnostic accuracy.
To run these projects on your local machine, follow these steps:
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Clone the Repository:
git clone https://github.com/IImAriyan/Visual-AI-Projects.git cd Visual-AI-Projects -
Install Dependencies: Make sure you have Python installed. Then, install the required libraries by running:
pip install -r requirements.txt
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Run the Projects: Navigate to the project directory you are interested in and execute the main script. For example, to run the Face Recognition Project:
cd FaceRecognition python main.py
We welcome contributions from the community! If you have an idea for a new project, improvements to existing projects, or bug fixes, please feel free to contribute.
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Fork the Repository: Click on the 'Fork' button on the top right corner of this page to create a copy of this repository in your GitHub account.
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Create a New Branch: Create a new branch for your feature or bug fix:
git checkout -b feature-name
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Make Your Changes: Make the necessary changes and commit them:
git commit -m "Add new feature" -
Push to Your Branch: Push your changes to your forked repository:
git push origin feature-name
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Create a Pull Request: Open a pull request to merge your changes into the main repository. Provide a detailed description of your changes and any related issues.
This project is licensed under the MIT License. For more details, refer to the LICENSE file.
Thank you for visiting the Visual AI Projects repository! We hope you find these projects useful and inspiring. If you have any questions or feedback, feel free to open an issue or contact us. Happy coding! 😊