> For the complete documentation index, see [llms.txt](https://docs-old.imerit-prod.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-old.imerit-prod.io/getting-started.md).

# Getting Started

To launch a project on the iMerit’s 3D Multi-Sensor Fusion Tool, the user will need to cover the following journey.

1. Define the ontology - The ontology is a comprehensive schema that defines the categories/classes, attributes, relationships, and rules for annotating data.
   * To define the ontology [create a recipe](/getting-started/create-a-recipe.md).
2. Create a taskflow -  Taskflow is an interactive channel used to manage the execution of tasks. The goal of a taskflow is to ensure that tasks are executed in a defined sequence by the respective expert mapped to the pipeline.
   * To setup the taskflow go to [create a taskflow](/getting-started/create-a-taskflow.md).
3. Pre-process Dataset - It is important to organize the data in the tool ingestible format.
   * Go to[ ](https://docs.google.com/document/d/1hAZlwue_BY4P9qbhEMFVLHqM8GocfzFiRZF1Zggid5w/edit)[Steps to Load LiDAR Data in the Tool](/steps-to-load-lidar-data-in-the-tool.md) to learn how to restructure data to load the LiDAR data in Step 4.
4. Create a job - A job is a comprehensive collection of batches. Each batch consists of a set of tasks assigned to a contributor. A job, hence encapsulates the entirety of work required to complete a larger objective by organizing tasks into manageable groups in the form of batches. Multiple batches can be processed in parallel, and the completion of all batches signifies the completion of a job.
   1. Guide to [create a job](/getting-started/create-a-job.md).
   2. The dataset must reside in an S3 account from where the tool will read the data and present on the tool. [Accessing the predefined S3 bucket](/getting-started/create-a-job/new-import.md#hwbsjis0gnas) section will help with this step.
   3. To import the data placed in the S3 bucket in Step 3, go to [Import](/getting-started/create-a-job/new-import.md).
5. To add contributors to the project, the user must share the solution from the Dashboard.  The [Share](/getting-started/accessing-3d-multi-sensor-fusion-tool-platform.md#share) section helps the user add more members.
6. The tool can be accessed on the All Batches UI via clicking on the [Launch Task](/getting-started/create-a-job/all-batches-launching-the-tool.md) button.
   * To know more about the tool, see [Tool User Guide](/3d-multi-sensor-fusion-tool-onboarding.md).
7. Once the annotations are created, the auditor can audit batches in the Audit tool - [How to Audit](/getting-started/audit-dashboard-and-audit-ui.md).

## Minimum Configuration

System configuration to support the tool:

1. i5 Processor
2. 16GB of RAM is the amount of memory for speed and smooth functioning
3. 4 GB GPU Card for rendoring