Most of the highest leverage workflows in Nucleus are based on visualizing and querying on ground truth annotations, and evaluating your model predictions against them.
Nucleus supports a variety of task types, namely:
If you already have a labeling project, you can upload tasks to Nucleus directly and have their labels synced automatically! See Ingest From Labeling.
Nucleus uses a generalized, unopinionated payload schema for annotations. The recommended way to construct these payloads is using our Python SDK.
When working in the Python SDK, each
Annotation object houses:
- Intrinsic information about the annotation itself (e.g. label, geometry).
- The reference ID of the item with which to associate the annotation.
- An optional unique annotation ID (if not provided, will be generated automatically).
- Optional metadata (stored as arbitrary key-value pairs).
Updated about 1 year ago
Annotation objects for upload!