Py123D is a unified library for multi-modal autonomous driving data, hosted on GitHub. The project is authored and maintained by kesai-labs under the Apache-2.0 license. It was last updated on 2026-05-19.
Use Cases
- Training multi-modal perception models based on the library's unified data structure.
- Benchmarking autonomous driving algorithms across different sensor modalities.
- Developing sensor fusion techniques for autonomous vehicles based on the described multi-modal data.
Strengths
- The dataset is associated with a specific, named library project (Py123D) and author (kesai-labs).
- It is distributed under the permissive Apache-2.0 license, which allows for commercial use and modification.
Limitations
- Description metadata is limited; actual data quality, scale, and content require manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- kesai-labs
- Freshness
- Last updated 2026-05-19 10:12:32; freshness should be verified.