Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
re-implement the detection performance on the small model
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
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Description
您好，我尝试了自己实现small的代码，有点奇怪的是，在前285个epoch的训练中，我的精度能够和官方精度对齐，但是在去掉mosaic, perspective和mixup，加上l1 loss的最后15个epoch，提点低了很多，最后结果只能达到39.2左右，请问最后15个epoch的训练有没有特殊的设置呢?
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First steps
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Research direction
No files, tests, or entry points are identified in the issue. Start by locating the small-model training configuration and compare the final 15 epochs with the preceding 285, including mosaic, perspective, mixup, and L1-loss settings; done means reproducing the reported final accuracy or identifying the missing setting.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100