# Documentation ## Documentation - [Introduction](https://docs.segments.ai/readme.md) - [Getting started](https://docs.segments.ai/tutorials/getting-started.md): This tutorial shows how you can create a dataset, upload some images in it, label and review them, and finally create a dataset release to export your data. - [Python SDK quickstart](https://docs.segments.ai/tutorials/python-sdk-quickstart.md): On the Segments.ai web platform you can create datasets, upload samples, create releases and download labels. All of these - and more - can also be done programmatically with the Python SDK. - [Model-assisted labeling](https://docs.segments.ai/tutorials/model-assisted-labeling.md) - [Label images](https://docs.segments.ai/how-to-annotate/label-images.md) - [View and navigate in the image interfaces](https://docs.segments.ai/how-to-annotate/label-images/view-and-navigate-in-the-image-interfaces.md) - [Image interface settings](https://docs.segments.ai/how-to-annotate/label-images/image-interface-settings.md) - [Image segmentation interface](https://docs.segments.ai/how-to-annotate/label-images/image-segmentation-interface.md) - [Image vector interface](https://docs.segments.ai/how-to-annotate/label-images/image-vector-interface.md) - [Label 3D point clouds](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds.md) - [View and navigate in the 3D interface](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/view-and-navigate-in-the-3d-interface.md) - [Upload, view, and overlay images](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/upload-view-and-overlay-images.md) - [3D interface settings](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/3d-interface-settings.md) - [3D point cloud cuboid interface](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/3d-point-cloud-cuboid-interface.md) - [3D point cloud vector interface](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/3d-point-cloud-vector-interface.md) - [3D point cloud segmentation interface](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/3d-point-cloud-segmentation-interface.md) - [Merged point cloud view (for static objects)](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/merged-point-cloud-view-for-static-objects.md) - [Batch mode (for dynamic objects)](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/batch-mode-for-dynamic-objects.md) - [Smart cuboid propagation](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/smart-cuboid-propagation.md) - [Tips for labeling cuboid sequences](https://docs.segments.ai/how-to-annotate/label-3d-point-clouds/tips-for-labeling-cuboid-sequences.md): This page describes some tips and tricks to label cuboids in point cloud sequences faster. - [Label sequences of data](https://docs.segments.ai/how-to-annotate/label-sequences-of-data.md) - [Track timeline](https://docs.segments.ai/how-to-annotate/label-sequences-of-data/track-timeline.md) - [Use track IDs in sequences](https://docs.segments.ai/how-to-annotate/label-sequences-of-data/use-track-ids-in-sequences.md) - [Use keyframe interpolation](https://docs.segments.ai/how-to-annotate/label-sequences-of-data/use-keyframe-interpolation.md) - [Playback](https://docs.segments.ai/how-to-annotate/label-sequences-of-data/playback.md) - [Prefetch](https://docs.segments.ai/how-to-annotate/label-sequences-of-data/prefetch.md) - [Label multi-sensor data](https://docs.segments.ai/how-to-annotate/label-multi-sensor-data.md) - [3D to 2D Projection](https://docs.segments.ai/how-to-annotate/label-multi-sensor-data/3d-to-2d-projection.md) - [Sensors list](https://docs.segments.ai/how-to-annotate/label-multi-sensor-data/sensors-list.md) - [Annotate object links](https://docs.segments.ai/how-to-annotate/annotate-object-links.md) - [Use the warning system](https://docs.segments.ai/how-to-annotate/use-the-warning-system.md) - [Customize hotkeys](https://docs.segments.ai/how-to-annotate/customize-hotkeys.md) - [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) - [Import data](https://docs.segments.ai/how-to-integrate/import-data.md) - [Cloud integrations](https://docs.segments.ai/how-to-integrate/import-data/cloud-integration.md) - [Export data](https://docs.segments.ai/how-to-integrate/export.md) - [Structure of the release file](https://docs.segments.ai/how-to-integrate/export/structure-of-the-release-file.md) - [Exporting image annotations to different formats](https://docs.segments.ai/how-to-integrate/export/exporting-image-annotations-to-different-formats.md) - [Create an API key](https://docs.segments.ai/how-to-integrate/create-an-api-key.md) - [Upload model predictions](https://docs.segments.ai/how-to-integrate/upload-model-predictions.md) - [Set up webhooks](https://docs.segments.ai/how-to-integrate/webhooks.md): Listen for events on your account so your integration can automatically trigger reactions. - [Main concepts](https://docs.segments.ai/background/main-concepts.md) - [Sequences](https://docs.segments.ai/background/sequences.md) - [Label queue mechanics](https://docs.segments.ai/background/label-queue-mechanics.md): The label and review queue make it easy for teams to efficiently work on a dataset together. - [Labeling metrics](https://docs.segments.ai/background/labeling-metrics.md) - [3D Tiles](https://docs.segments.ai/background/3d-tiles.md) - [Security](https://docs.segments.ai/background/security.md) - [Task types](https://docs.segments.ai/reference/sample-and-label-types.md) - [Sample formats](https://docs.segments.ai/reference/sample-types.md) - [Supported file formats](https://docs.segments.ai/reference/sample-types/supported-file-formats.md) - [Label formats](https://docs.segments.ai/reference/label-types.md) - [Categories and attributes](https://docs.segments.ai/reference/categories-and-attributes.md) - [API](https://docs.segments.ai/reference/api.md) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on a page URL with the `ask` query parameter: ``` GET https://docs.segments.ai/readme.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.