Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
如何在VOC上进行测试集测试
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
- No merged PRs in 30d
Description
你好，想问下YOLOX的工程下面，我用VOC数据集，我已经分好了train.txt、val.txt、trainval.txt、test.txt,请问下我在dataset中应该写image_sets=[('2007','train')]还是image_sets=[('2007','trainval')] ,在valdataset 中应该写image_sets=[('2007','test')]还是image_sets=[('2007','val')] 有点没弄明白
Contributor guide
No contributing guide indexed for this repository
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 by checking the dataset and valdataset configuration mentioned in the issue, focusing on how their image_sets entries map to VOC train, trainval, val, and test splits. Done means the correct split roles are clarified and the guidance is documented for this YOLOX setup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100