> For the complete documentation index, see [llms.txt](https://docs.segments.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.segments.ai/readme.md).
# Introduction
Segments.ai is the training data platform for computer vision engineers and labeling teams. Our powerful labeling interfaces, easy-to-use management features, and extensive API integrations help you iterate quickly between data labeling, model training and failure case discovery.
The documentation is divided into 4 sections:
1. [Tutorials](/tutorials/getting-started.md): end-to-end tutorials where you are guided through a complete project.
2. How-to guides: recipes to solve specific problems relating to
* [Annotating data](/how-to-annotate/label-images.md)
* [Managing data and collaborators](/how-to-integrate/import-data.md)
* [Integrating Segments.ai in your workflows and ML pipelines](/how-to-integrate/import-data.md)
3. [Background](/background/main-concepts.md): provides clarifying background knowledge on certain topics.
4. [Reference](/reference/sample-and-label-types.md): description of the full Python SDK functionality and input and output formats.
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