ageitgey / ageitgey/face_recognition
Miss classifications by spectacles
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 56.8k
- Forks
- 13.7k
- PR merge metrics
- No merged PRs in 30d
Description
- face_recognition version:1.2.3
- Python version:3.5
- Operating System:Ubuntu
Description
issues with persons wearing spectacles
What I Did
I had trained a model for persons without spectacles. while running the model there are miss classifications with the same person with spectacles.
I assume that eyebrows encodings are getting hidden by the spectacles and that is the reason of miss classifications.
Is there any work around for this problem? ???
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
The report names face_recognition 1.2.3, Python 3.5, and Ubuntu, but gives no files, tests, or reproducible data. Start by reproducing recognition with and without spectacles using the reported versions, then compare the results. Done means identifying a reliable workaround or documenting that the behavior requires broader model or pipeline changes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100