The Catalog is a data curation tool for organizing, searching, visualizing, and exploring labeled and unlabeled data (including any metadata). Teams developing and operating production AI systems need a data catalog to enable data selection for downstream data-centric workflows. This includes data labeling, model training, model evaluation, error analysis, and active learning.
Data can flow into and out of the Catalog in numerous ways. This diagram indicates how data can flow through the Catalog.
Catalog can ingest the following pieces of data. Catalog makes it easy to search, visualize, and explore the following data in one place.
Data Rows in Catalog are imported when a dataset is created or appended with Data Rows.
Custom metadata fields are imported during Data Row creation or update events.
Media attributes are a special class of metadata automatically pre-computed by Labelbox at Data Row creation or update events.
The media attributes include file type, dimensions, and pre-computed embeddings. Media attributes are essential for your optimal experience with Labelbox.
Model predictions are not yet supported in Catalog.
Data can flow out of the Catalog in two ways.
While all ground truth can be viewed in the Editor, the Catalog additionally supports previewing ground truth annotations to accelerate deriving insights that lead to actions. Below are supported and planned annotation previews of data types.
Text, Video, Geospatial tiled imagery, Documents, DICOM
Updated 2 months ago