ageitgey / ageitgey/face_recognition
Improvement of face detection
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- Dominant language
- Python
- Stars
- 56.8k
- Forks
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Description
I want to suggest the implementation of PyramidBox algorithm for face detection, it has higher accuracy than the previous state-of-the-art approaches, it can find partially occluded faces, low quality and blurred faces all in in harsh uncontrolled environments.
this is the paper, https://arxiv.org/abs/1803.07737
Thanks!
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 issue names no files, tests, or entry points; begin by locating the repository's existing face-detection implementation and reviewing the PyramidBox paper linked in the issue. Done would mean integrating the proposed algorithm and demonstrating improved detection for partially occluded, low-quality, blurred faces in uncontrolled environments.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100