microsoft / microsoft/OmniParser
evaluation
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 25.4k
- Forks
- 2.2k
- PR merge metrics
- No merged PRs in 30d
Description
Good work. Can you provide the code of evaluating your model on screenspot and other dataset as mentioned in the paper?
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
The issue requests evaluation code for ScreenSpot and the other datasets mentioned in the paper, but names no file or test. Start by comparing the paper’s evaluation section with the repository’s current evaluation entry points; done means reproducible code covering those datasets and documenting how to run it.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100