Regarding training data augmentation
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- Dominant language
- Python
- Stars
- 275
- Forks
- 46
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Description
Hi, may I know how you did the random brightness and contrast adjustment for training data? Could you recommend a method and adjustment range? Thanks.
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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
No file, test, or entry point is named. Start by reviewing the repository's training-data augmentation setup and the denoising training configuration, then document the random brightness and contrast method and recommended adjustment ranges. Done means the guidance is specific enough for someone to reproduce the augmentation.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100