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Dataset management - Simple ways to double down on specific parts of the dataset
Searching
Using SQL
Using Semantic search
Support multiple datasets, i.e, allow semantic search across datasets (Via staging area)
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"
Allow enriching datasets by adding/removing samples from various sources, including other datasets ( secondary datasets of data lakes)
Allow Various dataset formats (Users can load datasets from any format including 3rd party sources like RF, DagsHub, etc.)
Allow loading tables directly - local, or cloud based ( s3 etc.)
Allow various tasks:
Detection
Segmentation
Classification
ImgFolder structure used for generative AI or diffusion model samples
API Design:
GUI/ Dashboard - TODO
Pythonic/ Notebook - TODO
The text was updated successfully, but these errors were encountered:
Scope
Roadmap to V1:
Searching
Using SQL
Using Semantic search
Support multiple datasets, i.e, allow semantic search across datasets (Via staging area)
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"
Allow enriching datasets by adding/removing samples from various sources, including other datasets ( secondary datasets of data lakes)
Allow Various dataset formats (Users can load datasets from any format including 3rd party sources like RF, DagsHub, etc.)
Allow loading tables directly - local, or cloud based ( s3 etc.)
API Design:
The text was updated successfully, but these errors were encountered: