Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
Blurred images after data augmentation
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
- No merged PRs in 30d
Description
I am trying to fine-tune the model on my own dataset.
However, while looking into the images (for initial few iterations) after augmentation has been applied, I find the images to be quite blurry. Is this expected ?
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
The report concerns blurry images produced during data augmentation while fine-tuning on a custom dataset, but it names no file, transform, or test. Start by reproducing the first few augmented iterations and tracing the augmentation path to identify which operation changes image sharpness. Done means determining whether the blur is expected and documenting or correcting the behavior accordingly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100