fiftyone-dataset-import
Imports datasets into FiftyOne with automatic format detection. Supports all media types (images, videos, point clouds, MCAP multimodal recordings), label formats (COCO, YOLO, VOC, KITTI), multimodal grouped datasets, LeRobot v3 robot-learning episode datasets, and Hugging Face Hub datasets. Use when importing datasets from local files or Hugging Face, loading autonomous driving data, importing robotics/AV sensor logs (MCAP, ROS bag), importing LeRobot robot-learning episodes (teleop recordings, observation.state/action data), or creating grouped datasets.
Install
With your agent
Install OMGSkills skill "voxel51/fiftyone-skills:skills/fiftyone-dataset-import" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/voxel51/fiftyone-skills /tmp/fiftyone-skills && ln -s /tmp/fiftyone-skills/skills/fiftyone-dataset-import ~/.claude/skills/fiftyone-dataset-importFrom README
Universal Dataset Import for FiftyOne Key Directives ALWAYS follow these rules: Scan folder FIRST Before any import, deeply scan the directory to understand its structure: Auto-detect everything Detect media types, label formats, and grouping patterns automatically. Never ask the user to specify format if it can be inferred. Detect multimodal groups Look for patterns that indicate grouped data: Scene folders containing multiple media files Filename patterns with common prefixes (e.g., scene001left.jpg, scene001right.jpg) Mixed media types that should be grouped (images + point clouds) Detect and required packages Named autonomous-driving devkit formats (PandaSet, nuScenes, Waymo Open, Argoverse, KITTI 3D, Lyft L5, A2D2) need an external Python package. Check with pip show , ask the user before installing, then verify with a smoke-test import. Full package table, directory-pattern detection, and the complete conversion workflow are in SPECIALIZED-3D-FORMATS.md.
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