Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
How are false positives reduced in YOLOX?
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- Dominant language
- Python
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Description
@FateScript I came across this issue of mispredictions being made in YOLOX. When images of such mispredictions are added while training, the mispredictions get reduced. Any idea how this works internally?
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names no files, tests, or entry points. Start with the YOLOX documentation and training implementation to determine how adding mispredicted images affects false positives; done would be a documented, evidence-based explanation of the internal mechanism.
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Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100