ageitgey / ageitgey/face_recognition
Accuracy is very less on Large database of Images
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- Python
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Description
Hi,
I have a database of 50 million uniques faces i.e one image per person. Initially, I took 36000 images to test the accuracy, surprisingly accuracy is very low even with 0.6 threshold. If i take the compare_faces is true of the known and unknown face, it results in thousands of matching faces. I manually defined the threshold 0.4 still giving disappointing results and not matching same people. Could you please suggest me what can i do to improve accuracy on Large database of Images. I have only one image per person. Suggest me if any other algorithm or way works in my case.
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Research direction
The issue names compare_faces and 0.6 and 0.4 thresholds but no repository file or test. Start by reviewing the compare_faces entry point and reproducing the reported behavior on the described sample. Done means documenting whether the behavior is expected and identifying a supported path for the stated large-scale, single-image-per-person case.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100