data-collection-sim
data-collection-sim is an Embedded, IoT & robotics skill for AI agents, published by isaac-sim in the IsaacSim repository on GitHub. Skillspace rates data-collection-sim D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Build headless static-scene data collection pipelines using Isaac Sim 6 / Kit 110 Replicator. Produces annotated RGB, depth, segmentation, bounding boxes, and pose data via `BasicWriter`, `KittiWriter`, `CocoWriter`, `CosmosWriter`, `FPSWriter` (from `omni.replicator.core`) and `PoseWriter`, `DataVisualizationWriter` (from `isaacsim.replicator.writers`). Uses `isaacsim.core.experimental.utils.stage` to author the scene and either `rep.functional.modify.semantics` or `isaacsim.core.experimental.utils.semantics.add_labels` to label prims for annotators. Use when generating synthetic data, creating training datasets, or building SDG pipelines. For mobile-robot trajectory-driven SDG see `mobility-gen`; for grasp / teleop / episode-record workflows see `isaacsim.replicator.*` pointers below.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 3,708
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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