tensorflow / tensorflow/datasets
[data request] IBM Diversity in Faces Dataset (DiF)
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- Dominant language
- Python
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Description
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Name of dataset: IBM Diversity in Faces (DiF)
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URL of dataset: https://www.research.ibm.com/artificial-intelligence/trusted-ai/diversity-in-faces/
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License of dataset: Terms of Use
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Short description of dataset and use case(s): "The Diversity in Faces (DiF) is a large and diverse dataset that seeks to advance the study of fairness and accuracy in facial recognition technology. The first of its kind available to the global research community,DiF provides a dataset of annotations of 1 million human facial images."
Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.
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 the IBM Diversity in Faces dataset URL and its linked Terms of Use, then review tensorflow/datasets to identify the entry point for adding a dataset. Done would require confirming that the terms permit inclusion and integrating the dataset into TFDS; this issue names no files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100