landcover.ipynb predictions misalignment?
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 30/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- computer-vision, machine-learning
Research direction
Start with landcover.ipynb and reproduce the screenshot to inspect how imagery and prediction labels are aligned. Compare the displayed imagery with the labels and determine whether the notebook produces a positional mismatch; done means the landcover predictions correspond to the same portions of imagery.
Written by the indexing model from the issue text.
Description
It seems that there might be some misalignment of imagery within the landcover example? Looking at this output, the labels don't appear to be from the same portion of the imagery.
- Dominant language
- Jupyter Notebook
- Stars
- 455
- Forks
- 225
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
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- Open a pull request that references the issue number.
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