tensorflow / tensorflow/datasets
[data request] See-in-the-Dark (SID) Dataset
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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: See-in-the-Dark (SID) Dataset
- URL of dataset: https://github.com/cchen156/Learning-to-See-in-the-Dark
- License of dataset: MIT License.
- Short description of dataset and use case(s):
The dataset contains both indoor and outdoor images for training and benchmarking single-image processing of raw low-light 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.
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 the linked guide to adding a dataset and review the upstream See-in-the-Dark repository. Determine the dataset structure, splits, metadata, and MIT license details needed by the TFDS contribution process. Done means the SID dataset is added to tensorflow/datasets with its documented source and licensing information.
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