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static page showing large number of examples of different images with issues #194
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examples of other places where image files for such a page can be sourced: https://www.kaggle.com/search?q=cleanvision https://www.joaoataide.com/post/cleanvision-uma-ferramenta-essencial-para-limpeza-de-dados-de-imagem |
hi @jwmueller, I am interested in working on this issue. |
I'm interested to work on this issue any help would be much appreciated! |
Hi @RagnarokAnsh ! Great to see your interest in contributing. Unfortunately this issue is already assigned to someone else for now. Following are some more issues that we need help with. Let me know if anything interests you. |
Hello @sanjanag, |
Hi @TuhsarChaudhary ! You can start by picking examples from there, but the idea of this task is to try cleanvision on different datasets and add most compelling results from them |
@TuhsarChaudhary you can also find images from other folks who have run CleanVision on many datasets and posted the results online. For example: https://www.kaggle.com/search?q=cleanvision+in%3Anotebooks https://www.joaoataide.com/post/cleanvision-uma-ferramenta-essencial-para-limpeza-de-dados-de-imagem |
Does this problem is solved or not? If no then please assign me I am ready to solve this. |
@manish2022-creator Go for it! It has not been done by anybody |
Goal: create a static page in our docs that shows a continuously growing list of images corresponding to different types of issues detected by CleanVision.
The page should be split into subsections for each issue type, and you can add tons of images to display there.
The raw image files could be stored in this folder:
https://github.com/cleanlab/assets/tree/master/cleanvision/example_issue_images
Definitely do not store them in the cleanvision repo itself.
You can find such images just by running cleanvision on new datasets, or doing a google search! Also going through our examples notebooks and blogposts.
The page layout could like like
Note that it is not necessary to show each issue for each dataset that you choose, we're looking here only for the most compelling examples.
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