Galaxy ZooNEW
Level 24: Astronomy & Astrophysics
Science · Level 24
In short
Galaxy Zoo is an AI tool in the Astronomy & Astrophysics category from Zooniverse / Galaxy Zoo Project (University of Oxford, Adler Planetarium, University of Minnesota) in Oxford, United Kingdom. The pricing model is free. It is available in English only.
What is Galaxy Zoo?
Galaxy Zoo is one of the world's most prominent citizen science initiatives, hosted on the Zooniverse platform. The project assists astrophysicists in analyzing vast amounts of imagery captured by major space and ground observatories, including the Sloan Digital Sky Survey, the Hubble Space Telescope, and the James Webb Space Telescope. Volunteers help classify the morphology—the shape and visual features—of millions of distant galaxies.
In recent years, Galaxy Zoo has pioneered a hybrid human-in-the-loop AI framework. Using advanced deep learning models like 'Zoobot', the system determines which galaxy images can be confidently classified by algorithms and which ambiguous or complex objects require human inspection. This active learning approach dramatically speeds up data processing while maintaining high scientific accuracy.
Participants complete a brief tutorial and then answer a guided series of questions about visual features (such as spiral arms, galactic bars, or mergers). Beyond data entry, the integrated 'Talk' platform enables volunteers and professional astronomers to discuss unusual findings, frequently leading to genuine scientific discoveries.
Core features & strengths
- Visual Galaxy Classification — Volunteers categorize galaxy shapes, structural details, and merger signatures using a structured decision tree interface.
- Hybrid AI & Active Learning — Machine learning models automate simple classifications and dynamically route difficult or unusual objects to human volunteers.
- Discovery Community — The Zooniverse Talk interface allows users to flag and analyze rare phenomena, contributing directly to peer-reviewed scientific publications.
Who is this tool for?
Citizen scientists, space enthusiasts, educators, and astrophysics researchers requiring crowd-assisted data analysis.
Typical use case
An astrophysics research team receives hundreds of thousands of new telescope images from a recent sky survey. To analyze galaxy evolution, they need reliable morphologic classifications. By deploying the images to Galaxy Zoo, AI models handle the straightforward cases, while the crowd resolves complex formations, delivering a validated research dataset in a fraction of the usual time.
What is Galaxy Zoo good for?
- Citizen scientists, space enthusiasts, educators, and astrophysics researchers requiring crowd-assisted data analysis.
- An astrophysics research team receives hundreds of thousands of new telescope images from a recent sky survey.
- Visual Galaxy Classification: Volunteers categorize galaxy shapes, structural details, and merger signatures using a structured decision tree interface.
- Hybrid AI & Active Learning: Machine learning models automate simple classifications and dynamically route difficult or unusual objects to human volunteers.
- Discovery Community: The Zooniverse Talk interface allows users to flag and analyze rare phenomena, contributing directly to peer-reviewed scientific publications.
When a different tool fits better
Not suitable for proprietary corporate data processing or commercial computer vision applications.
Pricing & plans
Plans in detail
- StandardFree0 €N/A
- Permanently free for all users
- Community-based scientific research
Good to know
- No commercial plans available.
- The project relies on volunteer contributions.
Prices checked on 15/08/2026. Prices based on public provider information, without warranty. Euro amounts are approximations; the provider's pricing page prevails.
Supported languages
Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.
Privacy & GDPR
Data flow: Operated by Zooniverse (Adler Planetarium, University of Minnesota, University of Oxford); research images are public.
Training on your inputs: Crowd classifications and images feed into public research datasets; they are not used for commercial AI models.
For companies: No data processing; the project is aimed at the public and education.
Practical advice: No personal data is requested; when using in school, follow the browser privacy notices.
Privacy data checked on 01/08/2026. Editorial summary based on public provider information — not legal advice. When in doubt, check the provider's current privacy terms.
Fact sheet
| Vendor | Zooniverse / Galaxy Zoo Project (University of Oxford, Adler Planetarium, University of Minnesota) |
|---|---|
| Headquarters | Oxford, United Kingdom |
| Category | Astronomy & Astrophysics |
| Pyramid level | Level 24 – Astronomy & Astrophysics |
| Pricing model | Free |
| Free forever option | Yes |
| Open Source | No |
| Entry plan | Standard: Free (0 €) |
| German | not supported |
| English | interface and content |
| Privacy classification | Unclear |
| Data processing agreement | No data processing; the project is aimed at the public and education. |
Alternatives to Galaxy Zoo
- ALeRCE — Free · HQ: Santiago, Chile · Unclear
- AstroLens — Free · HQ: United States · GDPR / EU
- Astrometry.net (Nova) — Free · HQ: New York, United States · Unclear
- ExoMiner — Free · HQ: United States · GDPR / EU
- GraXpert — Free · HQ: Germany · GDPR / EU
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