https://github.com/ashnair1/coco-assistant

Helper for dealing with MS-COCO annotations
https://github.com/ashnair1/coco-assistant

annotation-processor ms-coco object-detection

Last synced: 3 months ago
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Helper for dealing with MS-COCO annotations

• Host: GitHub
• URL: https://github.com/ashnair1/coco-assistant
• Owner: ashnair1
• License: mit
• Created: 2019-05-30T10:48:15.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-09-04T00:04:55.000Z (9 months ago)
• Last Synced: 2025-02-16T23:06:03.515Z (3 months ago)
• Topics: annotation-processor, ms-coco, object-detection
• Language: Python
• Homepage: https://ashnair1.github.io/COCO-Assistant
• Size: 12.4 MB
• Stars: 92
• Watchers: 5
• Forks: 34
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/CONTRIBUTING.md
  • License: LICENSE

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README

        
# COCO-Assistant

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### Note: Please install from source. I've encountered some issues with uploading to Pypi and will look into this when I have time.

Helper for dealing with MS-COCO annotations.

## Overview

The MS COCO annotation format along with the pycocotools library is quite

popular among the computer vision community. Yet I for one found it difficult to

play around with the annotations. Deleting a specific category, combining

multiple mini datasets to generate a larger dataset, viewing distribution of

classes in the annotation file are things I would like to do without writing a

separate script for each scenario.

The COCO Assistant is designed (or being designed) to assist with this problem.

**Please note that currently, the Assistant can only help out with object

detection datasets**. Any contributions and/or suggestions are welcome.

## Package features

COCO-Assistant currently supports the following features:

-   Merge datasets.

-   Remove specfiic category from dataset.

-   Generate annotations statistics - distribution of object areas and category distribution.

-   Annotation visualiser for viewing the entire dataset.

## Documentation

Project documentation can be found [here](https://ashnair1.github.io/COCO-Assistant/index)

## Credits

This package was created with the [zillionare/cookiecutter-pypackage](https://github.com/zillionare/cookiecutter-pypackage) project template.