[RFC] Extend the scope of ImageFolder for segmentation data
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- Python
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Description
I am starting to work on segmentation problem.
ImageFolder is great but seems to be dedicated for classification.
Would it make sense to modify it such that we can load input/target which can be both list of images as in the case of CamVid dataset?
It is also true that segmentation can also be organized with a list of images and a list of annotations which does not fit the previous requirement.
So I was wondering what the core devs are thinking about it.
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 ImageFolder entry point and its documentation, then compare its classification assumptions with the CamVid input and annotation arrangement described here. The issue does not define an accepted API or implementation scope, so the work is not complete until maintainers agree on how image targets and annotation lists should be represented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100