microsoft / microsoft/GlobalMLBuildingFootprints
False positives - where to report?
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- Dominant language
- Python
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Description
Hi,
Very cool project. In many cases this works and are a cool resource. But unfortunately around where I live in Sweden there are to many examples of buildings detected that are in the ocean, on cliffs/bare rocks, just shadows in the forrest etc.
Is there a plan to rebuild this data set so you are interested in getting feedback on what has worked or does not work?
I added four examples below that are all within 5 km distansce from each other. Non of the marked buildings as seen in the images are actual buildings. The satelite imagery shown as background are bing satelite imagery. http://ecn.t3.tiles.virtualearth.net/tiles/a{q}.jpeg?g=1, which is stated to be bing virtual earth. I am not entirely sure if that is the imagery used but anyhow - in real life there are no buildings in the places where this project has indicated there is one.




Contributor guide
No contributing guide indexed for this repository
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 by reviewing the four linked examples and the repository's guidance for reporting building-footprint errors. Determine whether the false positives are dataset issues or model-output issues, then define a feedback or correction process; no source file or test is identified in the issue.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100