# Dataset Curation End-to-end curation pipeline: inspect quality, audit annotations, find duplicates, explore embeddings, and build curated splits. ## Install ```bash curl -sL skil.sh | sh -s -- voxel51/fiftyone-skills ``` When prompted, select **fiftyone-dataset-curation** from the menu. ## Requirements - [FiftyOne](https://docs.voxel51.com/getting_started/install.html) - [FiftyOne MCP Server](https://github.com/voxel51/fiftyone-mcp-server) ## Usage Load a dataset in FiftyOne, then ask your AI assistant: ```default "Curate my dataset: check quality, find duplicates, and build a clean training split" "Audit the annotations in my detection dataset" "Analyze class distribution and flag imbalanced classes" "Create a stratified train/val/test split" ``` The skill runs each phase sequentially and presents findings before making any changes. ## Example ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("quickstart") ``` Then ask your assistant: ```default "Curate the quickstart dataset: check for quality issues and near-duplicates" ``` ## See also - [Dataset curation docs](https://docs.voxel51.com/user_guide/brain.html) - [FiftyOne Brain](https://github.com/voxel51/fiftyone-brain)