🧠 Azure Computer Vision Project

This project demonstrates how to use the Azure Computer Vision API with Python to analyze images and extract meaningful insights. It features modular input via JSON, robust error handling, and clean integration with Azure services.

This project was built as part of a Coursera course and reflects the practical application of cloud-based computer vision.

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📂 Project Structure

ComputerVisionProject/
├── vision_test.py       # Main Python script
├── image.json           # JSON input with image URLs or paths
├── requirements.txt     # Python dependencies
├── .env                 # Environment variables
├── .gitignore           # Files to exclude from Git
├── LICENSE              # MIT license
└── README.md            # Project overview and instructions

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🚀 Getting Started

1. Clone the Repository

git clone https://github.com/your-username/ComputerVisionProject.git
cd ComputerVisionProject

2. Install Dependencies

pip install -r requirements.txt

3. Set Up Environment Variables

Create a .env file in the root directory and add your Azure credentials:

ENDPOINT=https://your-endpoint.cognitiveservices.azure.com/
SUBSCRIPTION_KEY=your_subscription_key

4. Prepare Your Input

Edit the image.json file to include the image URLs or local paths you want to analyze:

{
  "images": [
    "https://example.com/image1.jpg",
    "https://example.com/image2.png"
  ]
}

5. Run the Script

python vision_test.py

The script will analyze the images and display results such as:

• Image descriptions
• Tags and labels
• Objects detected
• Faces detected
• Color schemes and dominant colors
• Text extraction (OCR)

🧪 Requirements

The project uses the following Python packages:

azure-cognitiveservices-vision-computervision==0.7.0  
msrest==0.6.21  
requests==2.31.0  
python-dotenv==1.0.0  # Optional: Only needed if using a .env file for credentials

To install them manually:

pip install azure-cognitiveservices-vision-computervision msrest requests

If you're using a .env file to manage your API keys or environment variables, include:

pip install python-dotenv

📜 License

This project is licensed under the MIT License. See the LICENSE file for more details.

🎓 Certificate

This project was completed as part of the Azure Computer Vision course on Coursera. (https://coursera.org/share/0b8ae8ed5063bfe20c416931cd33ebed)

🙌 Acknowledgments

Special thanks to:

• Microsoft Azure - for providing the Computer Vision API.
• Coursera - for offering a structured learning platform.
• OpenAI - for assisting in technical documentation.

✨ Author

• N. S. Dilara Liyanage
• BSc (Hons.) in Computer Science - SLIIT
• Passionate about ethical AI, ML, Data Science and sharing technical knowledge.

🔗 Connect with me:

• LinkedIn: https://www.linkedin.com/in/dilara-liyanage/