# Dataset Import Import any dataset into FiftyOne with automatic format detection. Supports local files, Hugging Face Hub, cloud storage, multimodal grouped data, and MCAP robotics/AV sensor recordings. ## Install ```bash curl -sL skil.sh | sh -s -- voxel51/fiftyone-skills ``` When prompted, select **fiftyone-dataset-import** from the menu. ## Requirements - [FiftyOne](https://docs.voxel51.com/getting_started/install.html) - [FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server) (optional, recommended for App control) ## Usage Start the MCP server and ask your AI assistant: ```default "Import the COCO dataset from /path/to/data" "Load the keremberke/license-plate-object-detection dataset from Hugging Face" "Import this folder of images, there are cameras and LiDAR files grouped by scene" "Import these MCAP recordings from /path/to/rosbags" ``` The skill scans your data, auto-detects the format and media types, and loads the dataset into FiftyOne. It handles images, videos, point clouds, MCAP multimodal recordings (robotics/AV sensor logs), COCO, YOLO, VOC, KITTI, and more without you specifying the format. ## Example ```bash # Download sample COCO data to ~/fiftyone/coco-2017/validation fiftyone zoo datasets download coco-2017 --split validation ``` Then ask your assistant: ```default "Import the COCO 2017 validation dataset from ~/fiftyone/coco-2017/validation and name it coco-2017-validation" ``` After the skill runs, verify in Python: ```python import fiftyone as fo dataset = fo.load_dataset("coco-2017-validation") print(dataset) ``` Or ask your assistant to open it in the App: ```default "Launch the FiftyOne App with the coco-2017-validation dataset" ``` ## See also - [Dataset Import docs](https://docs.voxel51.com/user_guide/dataset_creation/index.html) - [Hugging Face Hub integration](https://docs.voxel51.com/integrations/huggingface.html) - [FiftyOne Multimodal (MCAP) guide](https://docs.voxel51.com/user_guide/multimodal.html) This skill’s directory also ships reference files the skill reads on demand rather than every invocation: `SPECIALIZED-3D-FORMATS.md` (PandaSet, nuScenes, Waymo, Argoverse, KITTI 3D, Lyft L5, A2D2), `USE-CASE-EXAMPLES.md` (copy-paste starting points), and for MCAP recordings specifically, `MCAP-TROUBLESHOOTING.md` (why a tile isn’t rendering), `MCAP-AUTHORING.md` (authoring MCAP from raw sensor data, converting ROS bags, merging/patching), and `MCAP-DATASET-AND-VALIDATION.md` (capability flags and validating an import before calling it done).