Improve accuracy of the ultraface-rfb-640.onnx model
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Description
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Question
Hi,
Currently, I'm using version-RFB-640.onnx to perform face detection on a video from a cpp program. It works well on some videos but on others, it doesn't. The detection seems to be intermittent, at some frames, it detects some of the faces, but most of the time it doesn't. Is there a way to maybe adjust the tolerance/confidence of the model or improve the accuracy of the model?
Frame where onnx model did detect the face (the girl with purple blazer):
Frame where it didn't detect the face:
As you can see, it doesn't seem to be working on the more further faces or from the guys on the right.
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Research direction
Start by reproducing the intermittent detections with version-RFB-640.onnx in the reported C++ program, comparing the supplied successful and failing frames. Check whether inference settings or image characteristics explain the missed faces; done would require a clearly identified accuracy improvement or documented limitation, but the issue names no repository files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- 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