CORAL is a large-scale whole-brain neuron tracing benchmark. A small set of randomly selected sample files provides lightweight examples for quick inspection and testing of different CORAL data types, including 3D cubes and SWC annotations.
Use Cases
- Test neuron tracing algorithm compatibility based on the provided SWC annotation format
- Visualize 3D brain imaging data based on the described cube-level task samples
- Evaluate data loading pipelines for neuroimaging based on the sample file structure
Strengths
- Samples are provided for quick inspection without downloading the full large-scale dataset
- Includes multiple data types such as 3D cubes and SWC annotations
- Last updated date is explicitly recorded as 2026-05-10
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- yangzekang2000
- Freshness
- Last updated 2026-05-10 15:26:42