Dataset Management Framework (Datumaro)

A framework and CLI tool to build, transform, and analyze datasets.

VOC dataset                                  ---> Annotation tool
     +                                     /
COCO dataset -----> Datumaro ---> dataset ------> Model training
     +                                     \
CVAT annotations                             ---> Publication, statistics etc.

Features

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Dataset reading, writing, conversion in any direction.
- CIFAR-10/100 (classification)
- Cityscapes
- COCO (image_info, instances, person_keypoints, captions, labels, panoptic, stuff)
- CVAT
- ImageNet
- Kitti (segmentation, detection, 3D raw / velodyne points)
- LabelMe
- LFW (classification, person re-identification, landmarks)
- MNIST (classification)
- Open Images
- PASCAL VOC (classification, detection, segmentation, action_classification, person_layout)
- TF Detection API (bboxes, masks)
- YOLO (bboxes)
Other formats and documentation for them can be found here.
Dataset building
- Merging multiple datasets into one
- Dataset filtering by a custom criteria:
  - remove polygons of a certain class
  - remove images without annotations of a specific class
  - remove occluded annotations from images
  - keep only vertically-oriented images
  - remove small area bounding boxes from annotations
- Annotation conversions, for instance:
  - polygons to instance masks and vice-versa
  - apply a custom colormap for mask annotations
  - rename or remove dataset labels
- Splitting a dataset into multiple subsets like train, val, and test:
  - random split
  - task-specific splits based on annotations, which keep initial label and attribute distributions
    - for classification task, based on labels
    - for detection task, based on bboxes
    - for re-identification task, based on labels, avoiding having same IDs in training and test splits
Dataset quality checking
- Simple checking for errors
- Comparison with model inference
- Merging and comparison of multiple datasets
- Annotation validation based on the task type(classification, etc)
Dataset comparison
Dataset statistics (image mean and std, annotation statistics)

Check the design document for a full list of features. Check the user manual for usage instructions.

Contributing

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Feel free to open an Issue, if you think something needs to be changed. You are welcome to participate in development, instructions are available in our contribution guide.

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Release history Release notifications | RSS feed

This release

1.13.8

Aug 12, 2026

1.13.7

Aug 5, 2026

1.13.6

Jul 22, 2026

1.13.5

Jul 22, 2026

1.13.4

Jul 8, 2026

1.13.3

Jun 24, 2026

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1.13.1

Jun 15, 2026

1.13.0

May 22, 2026

1.12.0

Sep 25, 2025

1.11.1

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1.11.0

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1.10.0

Mar 14, 2025

1.10.0rc1 pre-release

Oct 23, 2024

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1.6.0

Apr 12, 2024

1.6.0rc1 yanked

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Oct 6, 2023

1.5.2

Feb 22, 2024

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1.3.2

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1.3.0

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1.3.0rc1 pre-release

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1.2.1

May 4, 2023

1.2.0

Apr 20, 2023

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1.2.0rc2 pre-release

Apr 17, 2023

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Apr 14, 2023

1.1.1

Mar 28, 2023

1.1.0

Mar 23, 2023

1.1.0rc1 pre-release

Mar 17, 2023

1.0.0

Feb 24, 2023

1.0.0rc1 pre-release

Feb 13, 2023

0.5.0

Feb 7, 2023

0.5.0rc2 pre-release

Jan 30, 2023

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Jan 30, 2023

0.4.0.1

Dec 7, 2022

0.3.1

Sep 7, 2022

0.3

Feb 21, 2022

0.2.3

Jan 28, 2022

0.2.2

Dec 24, 2021

0.2.1

Nov 16, 2021

0.2

Oct 14, 2021

0.1.11

Aug 24, 2021

0.1.10.1

Jul 14, 2021

0.1.10

Jul 14, 2021

0.1.9

Jun 3, 2021

0.1.8

Mar 31, 2021

0.1.7

Mar 24, 2021

0.1.6.1

Mar 2, 2021

0.1.6

Feb 28, 2021

0.1.5.1

Jan 23, 2021

datumaro 1.13.8

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