tensorflow / tensorflow/datasets
[GSoC] Support more datasets format for visualization with tfds.show_examples()
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enhancement
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
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Description
Task: Currently tfds.show_examples() only works for supervised images datasets. It would be good to extend the heuristic to more dataset types, like:
- object detection
- 2-images side by side (ex:
div2k,cityscapes) - video (generated as gifs) ?
- texts ?
- audio ?
Instructions:
- Update
show_examplesvisualization.py to support new dataset types of your choice. - Experiment on Colab to iterate with the visualization, link the Colab to the PR so reviewer can visualize the result
- Update the
visualization_test.pywith dummy data to test the visualization of the new dataset. - Only add a single dataset type at a time
As multiple data-type exists, multiple people can work on this issue at the same time
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with tensorflow_datasets/core/visualization.py and choose one dataset type from the issue, then experiment with tfds.show_examples() in Colab. Add dummy data coverage for that type in visualization_test.py and link the Colab from the PR. Done means one new dataset type is supported and its visualization test passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data-visualization, machine-learning, testing-qa
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100