Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
您好，关于交叉训练时验证集指标的问题
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- Dominant language
- Python
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- 10.6k
- Forks
- 2.5k
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Description
是这样的，我用自己的数据集，coco格式，训练了N多轮后验证时各种指标都还是0，数据集格式和标签都正确无误，在mmdetection自己搭建网络上训练没有问题，想问下有可能是啥问题么
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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
Start with the custom COCO-format dataset, its labels, and the validation process described in the issue; compare the validation setup with the working MMDetection setup. Done means identifying why all validation metrics remain zero and documenting a reproducible cause or required configuration change.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100