> For the complete documentation index, see [llms.txt](https://docs.datagym.ai/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datagym.ai/documentation/master.md).

# DataGym.ai

**Data**Gym.ai is an online tool to easily label and annotate pictures to accelerate the development and go-to-market of your AI/ML product.

### Label images fast and easy

**The core feature is the easy to use workspace.** 

![The classifications and annotations are defined by the project admin.](/files/-M-OlI2k6Roo6LvkXhj4)

This editor is used to draw lines, bounding boxes and polygons or highlight points within images. The powerful AI-assisted labeling supports you in speeding up this time consuming job. 

![Speed up the labeling process with the AI-assisted labeling.](/files/-M-OjyXnsVpXvQu7ui4z)

Individual users or whole teams can label and annotate the images together to get the labeled data fast and easy. The images can be uploaded and managed in [datasets](/documentation/dataset/what-is-a-dataset.md) and then used in multiple different projects.

### **Manage Projects**

**Project owners set up the** [**label configuration**](/documentation/label-configuration/what-is-a-label-configuration.md) only once for all [tasks](/documentation/tasks/what-is-a-task.md) that should be processed by the labelers:

![](/files/-M6iYVX99SXsu8_1-6r3)

All the open tasks are managed on the projects page where they can be accessed by all the labelers.