mlcommons / mlcommons/dataperf
Debugging : DataPerf Vision Training Set Correctness Challenge: Image classification
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- Forks
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Description
Here is the link [](g: DataPerf Vision Training Set Correctness Challenge: Image classification)
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 linked Google Doc, “DataPerf Vision Training Set Correctness Challenge: Image classification,” because the issue provides no repository file, test, or entry point. Read the challenge specification to determine the expected correctness work and its completion criteria; the issue itself does not define them.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100