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fiftyone-dataset-inference

Skill

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.

0Machine Learning

Install

git clone https://github.com/voxel51/fiftyone-skills.git ~/.claude/skills/fiftyone-dataset-inference

What is fiftyone-dataset-inference?

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.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~63 tokens of context used while enabled, before you invoke anything

Documentation

README · ~4 min read

Run Model Inference on FiftyOne Datasets

Key Directives

ALWAYS follow these rules:

1. Check if dataset exists first

list_datasets()

If the dataset doesn't exist, use the fiftyone-dataset-import skill to load it first.

2. Set context before operations

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