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🔥A small selection of data annotation tools with all the details

CVAT (Computer Vision Annotation Tool) is one of the most popular and sought-after image annotation tools used to create datasets in the field of computer vision.

Advantages of CVAT:

✅Customization: CVAT, as an open-source solution, gives users complete freedom to customize the platform to their needs. This makes the tool flexible and adaptable, allowing it to be integrated into various workflows. The CVAT documentation provides detailed instructions on customization, making the setup process more accessible even for beginners.

✅Detailed documentation: CVAT documentation includes detailed descriptions of functionality, use cases, life hacks, and images. Regular documentation updates ensure that users are always aware of the latest changes and improvements.

Disadvantages of CVAT:

✅High resource requirements: One of the main disadvantages of CVAT is its high server resource requirements, which can be a problem for some teams.

Supervisely is a multi-functional platform for working with computer vision projects, offering solutions for the entire lifecycle of AI projects, from data labeling to model training and deployment.

Advantages:
A rich ecosystem of applications: Supervisely Apps already offers many ready-made widgets that allow you to extend the functionality of any part of the platform. Each of them is open source and available on GitHub, which makes it possible not only to modify existing applications but also to create new ones.

Disadvantages:
High cost: Despite its extensive capabilities, Supervisely may be a less profitable choice financially compared to other tools.

Label Studio is a powerful and flexible open-source tool for data annotation in various machine learning tasks, including computer vision, text, and audio processing. It is used to label data for subsequent training of models.

Advantages:
✅Flexibility: Users can create labels themselves using code, which opens up new possibilities for customization.
✅Extensibility: The modular structure allows for easy addition of new features and integration of additional label types.

Disadvantages:
✅High resource requirements: Label Studio may require a significant amount of resources to fully use, which makes it less convenient for users with disabilities.
✅Limitations in Bounding Boxes labeling: While, for example, CVAT offers a more convenient and fast tool for Bounding Boxes labeling, Label Studio is better suited for labeling audio data.
CVAT.ai Data Annotation Platform for Vision AI | CVAT Turn raw images, videos, and 3D data into model-ready datasets with CVAT. Use AI-assisted annotation, quality control, analytics, collaboration tools, APIs, and expert labeling services.
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