microsoft / microsoft/GlobalMLBuildingFootprints
How to help improve the data?
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 277
- PR merge metrics
- No merged PRs in 30d
Description
I have been looking at the data in some areas and seeing a decent number of issues. How can we help report these so the training set being used can be improved. For example, the most common issue I'm seeing is footprints that only cover parts of a building, or buildings that were missed. Happy to help figure out how to go about this.
Contributor guide
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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
There are no files, tests, or entry points named in the issue. First determine where the project documents data-quality reports, then define a reproducible way to submit partial or missing building footprints; done means contributors have clear reporting instructions and examples.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100