voxel51/fiftyone

[FR] Add keypoint labels to COCO dataset in FiftyOne dataset zoo

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#1,971 opened on Jul 28, 2022

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 (6 comments) (1 reaction) (0 assignees)Python (400 forks)batch import
dataset zooenhancementgood first issue

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Description

I cannot find documenation for downloading, using and visualizing the COCO keypoint dataset

URL(s) with the issue:

https://voxel51.com/docs/fiftyone/user_guide/dataset_creation/index.html

Description of proposal (what needs changing):

I have been trying to download the Humanpose estimation dataset using Keypoints from coco dataset. I am not able to find documentation and examples to do the same. It would be nice to have documentation for downloading, visualizing and analysing the key point annotations from coco dataset.

Willingness to contribute

The FiftyOne Community encourages documentation contributions. Would you or another member of your organization be willing to contribute a fix for this documentation issue to the FiftyOne codebase?

  • Yes. I can contribute a documentation fix independently.
  • Yes. I would be willing to contribute a document fix with guidance from the FiftyOne community.
  • No. I cannot contribute a documentation fix at this time.

Contributor guide

Research direction
Create documentation for downloading and visualizing COCO keypoint dataset using FiftyOne. Include steps for loading the dataset, accessing keypoint labels, and visualizing them.
Tech stack
python
Domain
backend
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonFiftyOne
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
80