Run ML model inference on FiftyOne datasets. Use when running models for detection, classification, segmentation, or embeddings. Discovers available models dynamically from the Zoo, plugin operators, or custom sources — never assumes a fixed model list.
Quickly install fiftyone-dataset-inference AI skill to your development environment via command line
Source: voxel51/fiftyone-skills.
If the dataset doesn't exist, use the fiftyone-dataset-import skill to load it first.
Launch App for inference The App must be running to execute inference operators:
Ask user for field names Always confirm with the user:
Run ML model inference on FiftyOne datasets. Use when running models for detection, classification, segmentation, or embeddings. Discovers available models dynamically from the Zoo, plugin operators, or custom sources — never assumes a fixed model list. Source: voxel51/fiftyone-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/voxel51/fiftyone-skills --skill fiftyone-dataset-inferenceRun ML model inference on FiftyOne datasets. Use when running models for detection, classification, segmentation, or embeddings. Discovers available models dynamically from the Zoo, plugin operators, or custom sources — never assumes a fixed model list. Source: voxel51/fiftyone-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/voxel51/fiftyone-skills --skill fiftyone-dataset-inference Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/voxel51/fiftyone-skills