# Data Commander
Data Commander is a tool that combines the classic approach of file management with the modern needs of handling data for training Computer Vision models. The primary goal of this tool is to simplify and speed up data manipulation processes by providing an interface similar to traditional file managers like Double Commander or Total Commander, but tailored to the specific requirements of working with annotations and other training data components.
Data Commander is a dual pane data manager (just like Double Commander), but not files - it's for training data.
## What you can do with Data Commander:
* Explore your teams, workspaces, projects and datasets
* Get insights and statistics about your data
With over 30 columns of metadata (such as the number of labels of different shapes, the source of the image, etc.), Data Commander helps users better understand the structure and quality of their data, which is crucial for preparing the most accurate and reliable neural network models.
* Move, copy, rename and remove your stuff
* Create new items, like teams
* Do batch operations, like tagging
Easily move and copy data between projects and workspaces, supporting standard functions such as renaming, deleting, and creating new items. It's particularly useful for handling large amounts of data, as batch operations can be performed using keyboard shortcuts.
* Quickly preview images
Data Commander allows you to quickly preview images without having to open the full annotation interface. This helps to quickly analyze data, identify problems, and make decisions about further processing.
Wanna learn more? Check out our [blog post](https://medium.com/deep-systems/dual-pane-file-manager-for-training-data-old-school-meets-ai-in-supervisely-d0aa64def296)!
Clone Project Meta
If you need to copy project meta (classes & tags) to other project this section will be useful for you.
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# 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.supervisely.com/data-organization/data-commander.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.