There are several options available:

Standalone tool#

Datuaro as a standalone tool allows to do various dataset operations from the command line interface:

datum --help
python -m datumaro --help

Python module#

Datumaro can be used in custom scripts as a Python module. Used this way, it allows to use its features from an existing codebase, enabling dataset reading, exporting and iteration capabilities, simplifying integration of custom formats and providing high performance operations:

import datumaro as dm

dataset = dm.Dataset.import_from('path/', 'voc')

# keep only annotated images item: len(item.annotations) != 0)

# change dataset labels and corresponding annotations
      'cat': 'dog', # rename cat to dog
      'truck': 'car', # rename truck to car
      'person': '', # remove this label
    default='delete') # remove everything else

# iterate over the dataset elements
for item in dataset:
    print(, item.annotations)

# export the resulting dataset in COCO format
dataset.export('dst/dir', 'coco', save_images=True)

DatumaroApp module#

Datumaro also provides a solution to users via GUI, which is DatumaroApp. This visually represents the features necessary for performing complex tasks such as data processing, allowing users to easily understand and interact with them, thereby enhancing user experience and enabling tasks to be performed more intuitively. Additionally, it allows users with limited coding or programming experience to use the solution. This enables users to immediately use the solution without the need for separate development or setup processes, allowing them to start using the solution and performing necessary tasks immediately.

cd gui
streamlit run

Following the above steps, the DatumaroApp page will appear.


Datumaro provides solutions not only for individual datasets but also for multiple datasets. You can utilize these functionalities through the GUI. Simply select the desired dataset format from the sidebar. Please click on Single Dataset on sidebar to proceed.


Enter the location where the desired dataset is located in the Select a path to import data field below, and then select the dataset from among the options available. Select the desired dataset from among those available in the Select a file. Whether your dataset is in a zip file or a regular folder, both are importable.


You can review information about the selected dataset below. You can view Dataset Information, Subset Info, Category Info, and a sample of the dataset. For other functionalities, you can proceed through different tabs.

If you want to learn more about DatumaroApp in detail, please check here.