Partnered with DermNet NZ

Clinical dermatology images for AI, from real consultations.

De-identified, dermatologist-diagnosed skin images, licensed for training, validating, and deploying medical AI.

Complimentary evaluation samples · Custom selections · Quote on request

~59,600
patient cases in the Main dataset
100,000+
clinical images in the Main dataset
1,000
image minimum for custom selections
72 hrs
typical delivery after signature and payment
Datasets

A large clinical dataset, built from real practice

Our collections come from in-person dermatology consultations across independent practices and countries. All are private and licensed directly by CoUnity Data, and we assemble custom selections to fit your model.

At a glance

Main collection

~59,600
patient cases
100,000+
clinical images
1
primary diagnosis per case
<1%
estimated residual duplication

In-person clinical diagnoses

Each case is one patient consultation, with one primary diagnosis made in person by the treating dermatologist.

Smartphone and professional-camera images

Real-world smartphone photographs plus professional-camera imagery, to train and evaluate across capture conditions.

Diverse geographies and skin tones

Cases from multiple countries and practices, spanning a range of skin tones.

Custom selections from 1,000 images

Subsets by condition, volume, demographics, or capture type, with complimentary evaluation samples.

Condition-level counts and distributions are shared during scoping.

What's in a case

Images plus structured metadata, documented plainly

Every case links clinical photographs to a single diagnosis and a small, consistent set of fields, so you can split, stratify, and audit your data with confidence.

Images

Real-world captureMain dataset images were taken on smartphones during clinical consultations. Professional-camera imagery is available in additional collections.
Multiple views per caseMost cases include several photographs of the same presentation.
Delivered as JPEGImages arrive in a ZIP archive alongside a JSON manifest.

JSON metadata fields

case / patient ID
Unique de-identified identifiers
final diagnosis
One primary diagnosis per case
dermatologist ID
De-identified diagnosing clinician
images
Image filenames and image count
age
Patient age
sex
1 = male, 2 = female, 3 = unknown
country
Country of the consultation
region
Geographical region (not body site)

Fields shown are for the Main dataset. Exact field names, and any additional fields in other collections, are documented with each sample.

Data quality & de-identification

Reviewed by medical professionals, case by case

Data is collected in clinical practice and goes through manual review before it is offered for licensing.

01 · CAPTURE

In-person consultation

Photographs are taken during the visit, and the treating dermatologist records the diagnosis.

02 · STRUCTURE

One case per patient

Collection is designed around one case per unique patient, with residual duplication estimated below 1%.

03 · REVIEW

Manual medical QC

Each case is checked for duplicates, image quality, age and sex accuracy, and de-identification.

04 · PROTECT

De-identified delivery

Records carry de-identified IDs, not names or contact details, and are licensed only under a signed agreement.

HIPAA-aligned de-identification. Our documented patient de-identification process is aligned with HIPAA Safe Harbor methods. We are happy to walk your compliance team through it during scoping.

Licensing & delivery

From first call to data in hand

A short, predictable process with one standard agreement. Pricing is volume-based and quoted per project.

  1. 1

    Scope your project

    Book a call or email us with the conditions, volume, capture type, and intended use you have in mind.

  2. 2

    Evaluate a free sample

    We share a complimentary evaluation sample so your team can check image quality and metadata.

  3. 3

    Receive a custom quote

    We propose a selection from 1,000 images upward. Pricing depends on volume, conditions, and independent-case coverage.

  4. 4

    Sign the license

    Review and sign our standard commercial licensing agreement with CO-UNITY GROUP LLC.

  5. 5

    Receive your data

    A ZIP of JPEG images and a JSON manifest, typically within 72 hours of signature and payment.

Use cases

Data for every stage of a dermatology model

Training & fine-tuning

Train or fine-tune classification and foundation models on real clinical cases with one diagnosis per patient, from smartphone and professional-camera sources.

Validation & evaluation

Build held-out test sets from independent practices and capture conditions to measure how models perform on real-world images before release.

Commercial deployment

Ship products built on licensed data. The perpetual commercial license covers deployment and derived applications, and you own the models you build.

Built for

  • Dermatology & skin AI teams
  • Medical software companies
  • Medical-device companies
  • AI labs & data-partnership teams
  • Research teams
Get started

Tell us what you're building

Share the conditions, volume, and intended use you have in mind. We'll come back with a sample and a quote for a custom selection.