Sample captions based on importance aux columns
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8
- Forks
- 2
- Avg merge
- 1d 9h
- Merged PRs (30d)
- 5
Description
For biodiv and crop yield we're planning to assign importance values (3 categories?) to the different columns.
With this, caption templates could be sampled with varying frequency based on importance.
If importance is added to the aux_classes.csv files, it is read directly by the caption builders.
Later this could be used for curriculum learning style learning (changing captioning strategy depending on accuracy of different columns).
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 by locating the aux_classes.csv files and the caption builders that read them. Determine how importance values for biodiv and crop-yield columns should be represented and how caption templates should be sampled by those values; done means the builders use the new metadata with the intended varying frequency.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100