> ## Documentation Index
> Fetch the complete documentation index at: https://docs.t3gemstone.org/llms.txt
> Use this file to discover all available pages before exploring further.
# Data Labeling
> Data Labeling for Image Processing
This section will provide information on how to perform labeling operations when you want to train your own models.
Label Studio is an open-source platform for managing labeling (annotation) and data preparation processes for different data types.
It allows labeling on image, text, audio, video, or time series data and facilitates the preparation of datasets to be used in training machine learning models.
Start Label Studio on the edgeai-tensorlab environment using the following command.
Before performing these operations, you must have completed the installation of the edgeai-tensorlab project from the previous step and be operating inside the distrobox using `task box`.
```bash theme={"system"}
task label-studio
```
If you have an existing account, you can log in. If you don't have an account yet, you can create a new one by clicking the "Sign Up" button.
After filling in the required information, you can create your account by clicking the "Create Account" button.
If you are using it for the first time, you will encounter a screen similar to the one above. You can create a new project by clicking the "Create Project" button.
When creating a project, you need to fill in the project name and project description fields.
In the next stage, the file upload section, you can add raw photos or labeled photos as an archive to the system.
In the "Label Setuping" section, you must select the appropriate template for your project. For object detection, the "Object Detection with Bounding Boxes" option should be selected.
On this screen, you need to enter the label names that will be used in your model. Each line will be defined as one label. You can add label names by clicking the "Add" button, and you can edit the colors or delete the added labels by clicking on them. After adding all the labels, you can create your project by pressing the "Save" button.
At this stage, you can start labeling your data. After clicking on one of the labels below the selected photo, you can apply the relevant label to the photo. After labeling the photo, you can complete the labeling process by pressing the "Submit" button.
After labeling all the photos, you must press the "Export" button. On the screen that opens, the "YOLO With Images" option should be selected, and the "Export" button at the bottom should be clicked. With this process, you will have successfully created your own dataset.
