Problem with: train-yolov8-object-detection-on-custom-dataset.ipynb
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Description
Search before asking
- I have searched the Roboflow Notebooks issues and found no similar bug report.
Notebook name
train-yolov8-object-detection-on-custom-dataset.ipynb
An error was raised by this command:
project.version(dataset.version).deploy(model_type="yolov8", model_path=f"{HOME}/runs/detect/train/")
Dependency ultralytics==8.0.196 is required but found version=8.2.103, to fix: pip install ultralytics==8.0.196
Would you like to continue with the wrong version of ultralytics? y/n: n
An exception has occurred, use %tb to see the full traceback.
Bug
An error was raised by this command:
project.version(dataset.version).deploy(model_type="yolov8", model_path=f"{HOME}/runs/detect/train/")
Dependency ultralytics==8.0.196 is required but found version=8.2.103, to fix: pip install ultralytics==8.0.196
Would you like to continue with the wrong version of ultralytics? y/n: n
An exception has occurred, use %tb to see the full traceback.
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
Open train-yolov8-object-detection-on-custom-dataset.ipynb and inspect the dependency setup and the project.version(dataset.version).deploy call. Reproduce the version mismatch in Google Colab, then verify that the notebook deploys successfully with a compatible ultralytics version.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100