tensorflow / tensorflow/datasets
[data request] Corrupted Tiny-ImageNet
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dataset request
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
- 1
Description
- Name of dataset: Tiny-Imagenet-C
- URL of dataset: https://github.com/hendrycks/robustness
- License of dataset: -
- Short description of dataset and use case(s): Tiny Imagenet is a challenge similar to ImageNet but with a smaller dataset.
Corrupted Tiny-ImageNet is a dataset generated by adding 15 common corruptions to the test images in the Tiny-ImageNet dataset. This dataset wraps the corrupted Tiny-ImageNet images uploaded by the original authors.
Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.
And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.
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 docs/add_dataset.md for the contribution process, then inspect the linked robustness repository and its Corrupted Tiny-ImageNet data. Confirm the dataset's structure, licensing information, and 15 corruption variants before assessing the integration; done means the dataset is available through tensorflow/datasets as described.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100