tensorflow / tensorflow/datasets
[data request] : Classification of Normal vs Malignant Cells in B-ALL White Blood Cancer Microscopic Image
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dataset request
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
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Description
- Name of dataset: Classification of Normal vs Malignant Cells in B-ALL White Blood Cancer Microscopic Image
- URL of dataset: https://competitions.codalab.org/competitions/20395#learn_the_details
- License of dataset: Unknown
- Short description of dataset and use case(s): This is a two class classification problem. The training and testing data contains folder level division of individual subjects.
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 and review the linked CodaLab dataset details, especially its licensing and download structure. Confirm that the dataset can be contributed under an acceptable license, then follow the guide to add it to TFDS and verify that the resulting dataset builds and loads correctly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100