---
id: fiftyone-brain
version: "0.24.0"
license: Apache
license_treatment: permissive
maintenance: active
---

# fiftyone-brain — FiftyOne Brain

License: permissive · Maintenance: active · Downloads: 185.9K/mo

## What it is and what it does

FiftyOne Brain is an AI/ML toolkit that extends the FiftyOne ecosystem with automated dataset and model analysis capabilities. It provides features like visual similarity search, text-based querying, detection of unique and representative samples, and identification of media quality issues and annotation mistakes. The package depends on numpy, scipy, and scikit-learn for its numerical and machine learning operations.

It is intended for data scientists and ML engineers working with computer vision and image datasets who need to systematically explore, validate, and improve their data quality. The package is actively maintained, supports current Python versions (3.10 through 3.14), and carries an Apache License that permits both commercial and open-source use.

Use it for:

- Find visually similar images in a dataset to identify duplicates or near-duplicates
- Detect annotation errors and labeling inconsistencies across a dataset
- Identify representative or unique samples for active learning or model validation
- Analyze media quality issues such as blur, noise, or lighting problems
- Query datasets using natural language descriptions to locate relevant samples

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

FiftyOne Brain provides AI/ML capabilities for analyzing and manipulating datasets and models, including visual similarity search, text-based querying, sample uniqueness detection, and quality/annotation issue identification.

Yes. FiftyOne Brain is actively maintained, has low install friction, carries a permissive license, and addresses a real need in dataset analysis and ML workflows. It integrates well with the broader FiftyOne ecosystem and depends only on stable, widely-used scientific libraries. No known security vulnerabilities. Install it if you work with computer vision datasets and need systematic quality and similarity analysis.

## Install

pip install fiftyone-brain
uv add fiftyone-brain
poetry add fiftyone-brain

## Installing fiftyone-brain

Before you install: Low install friction with a pure-Python wheel distribution. Actively maintained with a release 3 days old and recent commits. Depends on numpy, scipy, and scikit-learn—all stable, widely-used scientific packages.

License in practice: Apache License (permissive) means you can use, modify, and distribute this package freely in commercial and open-source projects with minimal restrictions.

Quickstart:

pip install fiftyone-brain

import fiftyone.brain as fb
# Use brain capabilities on a FiftyOne dataset

Requires Python 3.10 or later. Designed as part of the FiftyOne ecosystem; most functionality assumes a FiftyOne dataset object.

Verify before relying:

- Whether fiftyone-brain can be used standalone or requires the full fiftyone package installation
- Specific performance characteristics for large-scale datasets (scalability limits)
- Whether visual similarity search and other features require additional model downloads or setup

## Package facts

- License: Apache (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 185.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

visual similarity search, dataset analysis and quality, annotation error detection, representative sample finding, ml dataset tools, model dataset inspection, dataset-analysis, computer-vision, ml-tooling

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