# How to manage

- [Add collaborators to a dataset](https://docs.segments.ai/guides/add-collaborators-to-a-dataset.md)
- [Create an organization](https://docs.segments.ai/guides/create-an-organization.md): Organizations are shared accounts where teams can easily collaborate across many datasets.
- [Configure the label editor](https://docs.segments.ai/guides/configure-label-editor.md)
- [Configure rules](https://docs.segments.ai/guides/configure-label-editor/configure-rules.md): In the dataset settings, rules can be configured to help spot potential issues early by raising warnings. Currently, the rules that can be added are only applicable to cuboids.
- [Configure region of interest](https://docs.segments.ai/guides/configure-label-editor/configure-region-of-interest.md): In 3D point cloud datasets, you can now define a Region of Interest to focus labeling efforts on a limited zone centered around the ego vehicle. The Region of Interest can be configured in the dataset
- [Customize label queue](https://docs.segments.ai/guides/customize-label-queue.md)
- [Search within a dataset](https://docs.segments.ai/guides/search-functionality.md): With the search bar, you can search for samples by their name, metadata attributes, and label content.
- [Clone a dataset](https://docs.segments.ai/guides/clone-a-dataset.md)
- [Work with issues](https://docs.segments.ai/guides/work-with-issues.md)
- [Bulk change label status](https://docs.segments.ai/guides/bulk-change-label-status.md)
- [Manage QA processes](https://docs.segments.ai/guides/manage-qa-processes.md): How Segments.ai helps to streamline QA, how to set up a linting process and which additional features can be leveraged
- [Open a sample in read-only mode](https://docs.segments.ai/guides/open-a-sample-in-read-only-mode.md)
- [Caching assets](https://docs.segments.ai/guides/caching-assets.md)


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