Yolo v8 model
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 17.9k
- Forks
- 7.3k
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 13
Description
🚀 The feature
Pre-trained models of the YOLO family
Motivation, pitch
I would like to be able to use pre-trained models of the YOLO family to further train them on my own small dataset, yolo is much faster than RetinaNet
Alternatives
No response
Additional context
No response
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
The issue requests pre-trained YOLO models but names no files, entry points, tests, or specific YOLOv8 scope. Start by reviewing the existing model implementations and pretrained-weight patterns in the repository, then define the supported model and training behavior before identifying tests that establish completion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100