This is a .NET 6 console application that uses Azure Computer Vision 4.0 to analyze an image from a URL. The application extracts relevant information from the image, such as the image's height and width, the version of the model used for analysis, a caption automatically generated for the image, and a series of "dense captions", which are more detailed descriptions of different regions within the image. 🖥️🌐
- .NET 6.0 SDK
- An Azure account with a key and endpoint for the Computer Vision service.
For this application to work, you need to have an Azure account with access to the Computer Vision service. You should set up two environment variables on your system:
VISION_KEY: Your Azure Computer Vision secret key. 🔑VISION_ENDPOINT: The endpoint of your Azure Computer Vision service. 🔗
- Clone this repository onto your local machine. 🔄
- Open a terminal and navigate to the directory where the project is located. 🗂️
- Run the command
dotnet runto start the application. 🏃♂️
The application will analyze the image at the provided URL and display the extracted information in the console. 🖼️📊
The application outputs the following information extracted from the image:
- The height and width of the image. 📏
- The version of the Azure Computer Vision model used for the analysis. 🤖
- A caption automatically generated for the image. 🗨️
- A series of "dense captions" for different regions of the image. 📝
Each dense caption includes the caption content, the bounding box of the region, and the confidence in the caption. 💡
To learn more about Azure Computer Vision used in this project, please refer to the official Microsoft Learn documentation:
- Microsoft Learn Documentation
- Analyze images with the Computer Vision service
- Create computer vision solutions with Azure Cognitive Services
Contributions are welcome. Feel free to open an Issue or make a Pull Request.
This project is licensed under the terms of the MIT license.