yoloexplorer
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Roadmap, Scope and API design
Scope
Roadmap to V1:
- Dataset management - Simple ways to double down on specific parts of the dataset
Searching
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[x] Using SQL
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[x] Using Semantic search
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[x] Support multiple datasets, i.e, allow semantic search across datasets (Via staging area)
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[ ] Using natural Language / AI search - Example- "Show me all images where a person is standing next to a car and the sample should be recorded before 2015"
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[x] Allow enriching datasets by adding/removing samples from various sources, including other datasets ( secondary datasets of data lakes)
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[ ] Allow Various dataset formats (Users can load datasets from any format including 3rd party sources like RF, DagsHub, etc.)
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[ ] Allow loading tables directly - local, or cloud based ( s3 etc.)
- Allow various tasks:
- [x] Detection
- [ ] Segmentation
- [ ] Classification
- [ ] ImgFolder structure used for generative AI or diffusion model samples
API Design:
- GUI/ Dashboard - TODO
- Pythonic/ Notebook - TODO