The demand for computer vision annotation tools has been growing due to the increasing applications in autonomous vehicles, medical imaging, agriculture, and e-commerce. The global market for image annotation services is projected to reach $1.5 billion by 2025. CVAT (Computer Vision Annotation Tool) is a popular open-source platform for annotating images and videos, providing user-friendly interfaces for object detection, image classification, and segmentation. However, it has limitations such as lack of source code documentation, manual testing checks, browser dependency, and a steep learning curve for new users. Exploring alternatives like Encord, COCO Annotator, Hive, Label Studio, SuperAnnotate, Amazon SageMaker Ground Truth, VoTT, and Labelbox can help address these limitations and provide diverse features, ease of use, and compatibility with different workflows to empower data scientists and developers in their annotation tasks.