# Quick Guide: How to Create, Manage, Annotate 3DMSF Projects on Ango Hub {% hint style="info" %} 3D Multi-Sensor Fusion (3DMSF) assets can only be annotated in projects of the type "3D Multi-Sensor Fusion". See [the docs page on 3DMSF projects](/3d-multi-sensor-fusion/3d-multi-sensor-fusion-projects.md) for more. {% endhint %} {% hint style="info" %} Not all Ango Hub functionality is available in 3DMSF projects. Features such as requeuing, plugins, consensus, benchmarking, and others are unavailable. For a full list of feature unavailable in 3DMSF-type projects, please consult [this docs page](/3d-multi-sensor-fusion/feature-availability-status-for-projects-of-the-3d-multi-sensor-fusion-type.md). {% endhint %} {% hint style="info" %} Annotating 3D Multi-Sensor Fusion (LiDAR, Point Cloud) assets is not available on private cloud and on-premise deployments of Ango Hub. {% endhint %} Ango Hub can be used to annotate 3D point-cloud, multi-sensor fusion assets. Here are the steps to do so: ## Step 1: Create a new 3D MSF-type project After you have signed up to Ango Hub, ensure you are in the correct organization and click on "Create Project". (You must be an organization admin to see this button):
Selecti the "3D Multi-Sensor Fusion" option, then give a name and optionally a description to your project.
Toggle on or off the configuration toggles as desired. Fill in the basic details about the labeling project: ### Name and Description Give the recipe a name and description for contributors to understand. ### Overlapping of Annotations Toggle this option ON to allow two annotations to overlap without conflict detection. Turning it OFF will enable the tool to identify overlapping annotations and display a conflict alert. When a conflict is detected, the user will have the option to override the first classification at the overlapping instance. ## Step 2: Create the Project's Category Schema/Recipe Once the project has been created, from the project's settings, enter the *Category Schema* section. Add the PCT and/or classification classes you will use in the project. For more details on this step, see the '[Category Schema](/3d-multi-sensor-fusion/labeling/category-schema.md)' docs page. ## Step 3: Invite users to your project From your project, enter the "Settings" tab, and then the "Members" section. Click on the "Invite to Project" button:
From the dialog that appears, enter the emails of the users you'd like to add, pick a role for them, and click on "Send Invitations":
## Step 4: Configure the project's workflow Enter the "Workflow" tab, and drag and drop stages to configure your workflow. Please read [the documentation page on Workflow](/core-concepts/workflow.md) for how to use Ango Hub's Workflow Designer. ## Step 5: Import PCT data From the project you have just created, navigate to the *Assets* tab. Click on *Add Data*, then on *Cloud Upload*. Follow the steps outlined in the [Importing Data in the 3D Multi-Sensor Fusion Labeling Tool](/3d-multi-sensor-fusion/importing-data-in-the-3d-multi-sensor-fusion-labeling-tool.md) page to create a conforming data folder and JSON to import. To import pre-labels - \[[link](/3d-multi-sensor-fusion/importing-data-in-the-3d-multi-sensor-fusion-labeling-tool.md#create-a-folder-for-pre-labelled-annotations)]. ## Step 6: Annotate your data and obtain your export Annotators will click on "Start Labeling" to start annotating. You will be redirected to the Point Cloud tool user interface. Annotate your data as outlined in the [3D Multi-Sensor Fusion Labeling Editor](/3d-multi-sensor-fusion/labeling/3d-multi-sensor-fusion-labeling-editor.md) page. When you are done annotating your task, click on *Submit* on the top-right side of the point cloud tool, and you will be displayed the next asset in the queue. To go back to Ango Hub, navigate back to [imerit.ango.ai](https://imerit.ango.ai) from your browser URL bar. ## Step 7: Export You may obtain your export from the project's *Export* tab. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.imerit.net/3d-multi-sensor-fusion/quick-guide-how-to-create-manage-annotate-3dmsf-projects-on-ango-hub.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.