ageitgey / ageitgey/face_recognition
Face recognition for high accuracy
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- Dominant language
- Python
- Stars
- 56.8k
- Forks
- 13.7k
- PR merge metrics
- No merged PRs in 30d
Description
Hello everybody...i maked a project with face_recognition library using raspberry pi 3 in real time..i added 45 people and In some peoples they identify faces incorrectly,how i can to increase face recognition accuracy??in addition, I set the tolerance parameter to 0.54 but it not worked for me,
thank you in advance for your support
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
No repository file or test is named. Start by reproducing the incorrect matches with the face_recognition library on the Raspberry Pi 3 setup, including the 45-person dataset and tolerance 0.54. Done means identifying the cause of the misidentifications and demonstrating a verified accuracy improvement.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, raspberry-pi
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100