I RUN SAME CODE BUT I GET DIFFERENT ACCURACY
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bug
- Dominant language
- Jupyter Notebook
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Description
Search before asking
- I have searched the Roboflow Notebooks issues and found no similar bug report.
Notebook name
Bug
I RUN SAME CODE BUT I GET DIFFERENT ACCURACY
Environment
- Google Colab
Minimal Reproducible Example
No response
Additional
No response
Are you willing to submit a PR?
- Yes I'd like to help by submitting a PR!
Contributor guide
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 linked train-rt-detr-on-custom-dataset-with-transformers.ipynb notebook in Google Colab and compare the reported runs, recording the environment and accuracy outputs. A minimal reproducible example and a confirmed explanation for the differing accuracy would be needed before considering this done.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100