annobel

Create a comprehensive image annotation tool using the 'annobel' Python package. This tool will serve as a user-friendly interface for annotating images with bounding boxes for object detection tasks. The application should integrate both automatic and manual annotation capabilities, providing flexibility and efficiency in the annotation process. Here’s a detailed breakdown of the project requirements and features:

1. **Setup and Installation**: Begin by installing the 'annobel' package and any other necessary dependencies. Ensure that the environment setup instructions are clear and concise.
2. **User Interface**: Develop a graphical user interface (GUI) that allows users to load images from their local system or from a specified directory. The GUI should support navigation through multiple images and provide options to zoom in/out and pan across the image.
3. **Automatic Annotation**: Implement a feature that automatically detects objects within the image using pre-trained models provided by 'annobel'. Users should be able to view these detections and refine them if necessary.
4. **Manual Annotation**: Allow users to manually draw bounding boxes around objects in the image. Provide tools such as freehand drawing, rectangle selection, and polygon creation for precise annotations.
5. **Annotation Refinement**: Include functionalities to modify existing annotations, such as resizing, rotating, and deleting bounding boxes. Also, enable users to add labels or tags to each annotated object.
6. **Export Annotations**: Enable users to save their annotations in a standard format (e.g., COCO, PASCAL VOC) for further use in machine learning pipelines. Ensure that the export process is seamless and error-free.
7. **Batch Processing**: Add a batch processing feature that allows users to annotate multiple images at once. This feature should support automatic and manual annotation modes, allowing for efficient workflow management.
8. **Customization Options**: Provide customization options for the annotation tool, such as changing colors, fonts, and layout preferences. These options should enhance the user experience and cater to diverse needs.
9. **Documentation and Help**: Include comprehensive documentation and help sections within the application. This should cover installation, usage, and troubleshooting tips.
10. **Testing and Validation**: Before finalizing the application, thoroughly test it to ensure all features work as expected. Conduct user testing sessions to gather feedback and make necessary improvements.

The 'annobel' package is utilized throughout the project, primarily for its automatic annotation capabilities and GUI integration. It provides the backbone for the annotation tool, enabling efficient and accurate object detection and annotation processes.