Could the rs subset tool add automaticly construct dataset function？
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- Dominant language
- Python
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Description
Given the config file, we could randomly produce standard training dataset from the raw dataset.
By the way, at present if I want to train my dataset, I must create **validation.tiles** and **training.tiles** from the raw **dataset.tiles** manually. I mean I just copy and past the raw **dataset.tiles**. Could there be more efficient ways?
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 rs subset tool and its config-file handling, then trace how raw dataset.tiles is currently used. The change should automatically produce training.tiles and validation.tiles from the raw dataset according to the configuration, with the resulting datasets suitable for training.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100