facebookresearch / facebookresearch/sam3
Few-shot fine-tuning
- Dominant language
- Python
- Stars
- 11.7k
- Forks
- 1.8k
- PR merge metrics
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Description
I am curious to know how much data that we must need for few-shot finetuning.
I would be a great help if I could get the right parameter settings for fine-tuning the model with that small amount of dataset.
Finally, a clue to make custom dataset compatible with fine-tuning the SAM3 model.
Thank you in advance!
Contributor guide
Research direction
Start by reading the repository's fine-tuning entry points and example notebooks to identify the documented training configuration and dataset format. The work is complete when the few-shot data requirements, relevant parameter settings, and custom-dataset compatibility guidance are clearly documented for SAM3 users.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100