VoTT

VoTT (Visual Object Tagging Tool) 2.2.0 is a graphical image and video annotation application designed to help users label visual datasets for computer vision and machine learning projects. It provides an intuitive interface for creating tags, drawing bounding boxes, organizing datasets, and exporting labeled data for model training workflows.

The solution supports common data annotation workflows including image and video labeling, object detection dataset preparation, tag management, project organization, and annotation export. It is suitable for developers, data scientists, researchers, and machine learning teams working with computer vision datasets.

Features of VoTT 2.2.0:

• Graphical interface for image and video annotation.
• Supports bounding box-based object labeling.
• Custom tag creation and annotation management.
• Helps prepare labeled datasets for computer vision models.
• Supports project-based organization of annotation tasks.
• Provides export options for annotated datasets.

Usage instructions for VoTT:
$ sudo su
$ snap list | grep -i vott
$ snap run vott

Installed Version: VoTT 2.2.0

VoTT is a desktop GUI application and does not provide a web interface.

To access VoTT on an Azure Ubuntu VM:
1. Connect to the virtual machine using Remote Desktop (RDP) on port 3389.
2. Log in to the Ubuntu desktop environment.
3. Open a terminal.
4. Run: snap run vott

Disclaimer: VoTT is provided “as is” under applicable open-source licenses. VoTT 2.2.0 is a legacy and no longer actively maintained application. Users are responsible for validating compatibility, securing their virtual machine environment, managing access to annotation data, and verifying exported datasets before using them in production machine learning workflows.