tensorflow / tensorflow/datasets

[data request] CUFS data set

Open
#407 1 comment 1 reaction 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: CUHK Face Sketch Database (CUFS)
  • URL of dataset: http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html
  • License of dataset: unknown
  • Short description of dataset and use case(s):
    CUHK Face Sketch database (CUFS) is for research on face sketch synthesis and face sketch recognition. It has 606 faces in total. For each face, there is a sketch drawn by an artist based on a photo taken in a frontal pose, under normal lighting condition, and with a neutral expression.
    It could be used to teach neural networks to sketch portraits from photos.

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 verify the CUFS URL, dataset availability, and licensing, since the request leaves the license unknown. Follow the guide for adding CUFS to tensorflow/datasets; done means the dataset is integrated and usable for face sketch synthesis or recognition research.

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
Needs clarification
Newbie friendliness
30/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.