tensorflow / tensorflow/datasets

[data request] APTOS 2019 Blindness Detection

Open
#990 1 comment 4 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

dataset request
Dominant language
Python
Stars
4.6k
Forks
1.6k
Avg merge
3h 54m
Merged PRs (30d)
1

Description

  • Name of dataset: APOTOS 2019 Blindness Detection - for diabetic retinopathy
  • URL of dataset: https://www.kaggle.com/c/aptos2019-blindness-detection/overview
  • License of dataset: Apache License 2.0
  • Short description of dataset and use case(s):
    The dataset contains retina images taken using fundus photography under a variety of imaging conditions. The dataset is mainly used to study the severity of diabetic retinopathy on a scale of 0 to 4. Aravind Eye Hospital in India hopes to detect and prevent this disease among people living in rural areas where medical screening is difficult to conduct.

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

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with docs/add_dataset.md and review the linked Kaggle dataset details, including its license and diabetic-retinopathy use case. Compare the request with existing dataset implementations in tensorflow/datasets; done means the APTOS 2019 Blindness Detection dataset is added according to the contribution guide and its data preparation and metadata are covered.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
data, machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.