areum is an aesthetics research lab using statistical modeling to understand how people perceive beauty.

areum is an aesthetics research lab using statistical modeling to understand how people perceive beauty.

areum is an aesthetics research lab using statistical modeling to understand how people perceive beauty.

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How it works

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How it works

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Upload a picture of your face, and get a statistically grounded rating.

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The Model

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The Model

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The Model

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Millions of votes from people like you train our in-house classification model.




Who's more attractive?

Choose between one of two random faces

Humans are much better at picking between two faces than rating a single face.

We take your vote, along with millions of others, and use it to train our in-house classification model, with demographic breakdowns.

Individuals compare faces

Humans are more accurate at comparing two things than assigning absolute ratings. The most reliable rankings come from pairwise comparisons.”

Aggregated Judgment

Each individual comparison contributes only a small piece of information, but millions of pairwise votes combine into a highly stable global ranking. The collective consistency of human judgment makes the model statistically robust.

Continuous Learning

Every new vote refines the algorithm’s understanding of aesthetic perception. As more people compare faces, the model continuously recalibrates its parameters, improving accuracy and reducing cultural bias over time.

We take your vote, along with millions of others, and use it to train our in-house classification model, with demographic breakdowns.

Who's more attractive?

Choose between one of two random faces

Humans are much better at picking between two faces than rating a single face.

We take your vote, along with millions of others, and use it to train our in-house classification model, with demographic breakdowns.

Individuals compare faces

Humans are more accurate at comparing two things than assigning absolute ratings. The most reliable rankings come from pairwise comparisons.”

Aggregated Judgment

Each individual comparison contributes only a small piece of information, but millions of pairwise votes combine into a highly stable global ranking. The collective consistency of human judgment makes the model statistically robust.

Continuous Learning

Every new vote refines the algorithm’s understanding of aesthetic perception. As more people compare faces, the model continuously recalibrates its parameters, improving accuracy and reducing cultural bias over time.

We take your vote, along with millions of others, and use it to train our in-house classification model, with demographic breakdowns.

Who's more attractive?




Choose between one of two random faces

Humans are much better at picking between two faces than rating a single face.

We take your vote, along with millions of others, and use it to train our in-house classification model, with demographic breakdowns.

Individuals compare faces

Humans are more accurate at comparing two things than assigning absolute ratings. The most reliable rankings come from pairwise comparisons.”

Aggregated Judgment

Each individual comparison contributes only a small piece of information, but millions of pairwise votes combine into a highly stable global ranking. The collective consistency of human judgment makes the model statistically robust.

Continuous Learning

Every new vote refines the algorithm’s understanding of aesthetic perception. As more people compare faces, the model continuously recalibrates its parameters, improving accuracy and reducing cultural bias over time.

We take your vote, along with millions of others, and use it to train our in-house classification model, with demographic breakdowns.

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The Science

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The Science

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The Science

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Vote to Contribute to the Research.

All statistical analyses begin with real human judgment. Help train Areum’s classification model to better understand how people perceive faces across cultures and contexts by voting in our dataset of Ai-generated faces.

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What We Offer

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What We Offer

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What We Offer

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Overall Rating

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Your overall facial rating is generated from a mathematical model trained on millions of real human votes. It calculates both your percentile ranking and standard deviation score, showing how your facial features compare statistically across a large global dataset.

Demographic Breakdowns

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Our model also estimates how your face is perceived across different demographic groups. Using data from millions of ratings, it identifies how members of various ethnic, age, and gendered audiences tend to evaluate your features, offering a grounded, data‑driven view of aesthetic perception.

Overall Rating

Your overall facial rating is generated from a mathematical model trained on millions of real human votes. It calculates both your percentile ranking and standard deviation score, showing how your facial features compare statistically across a large global dataset.

Demographic Breakdowns

Our model also estimates how your face is perceived across different demographic groups. Using data from millions of ratings, it identifies how members of various ethnic, age, and gendered audiences tend to evaluate your features, offering a grounded, data‑driven view of aesthetic perception.

Overall Rating

Your overall facial rating is generated from a mathematical model trained on millions of real human votes. It calculates both your percentile ranking and standard deviation score, showing how your facial features compare statistically across a large global dataset.

Demographic Breakdowns

Our model also estimates how your face is perceived across different demographic groups. Using data from millions of ratings, it identifies how members of various ethnic, age, and gendered audiences tend to evaluate your features, offering a grounded, data‑driven view of aesthetic perception.

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Reviews

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Reviews

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Reviews

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Thousands of users love Areum

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FAQs

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FAQs

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FAQs

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Have any questions?

Answers to common questions about Areum Labs, the ratings we offer, and how you can navigate them.

1. How does Areum calculate my facial rating?
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Areum’s model is trained on millions of real human votes on AI-generated faces. It uses statistical analysis and machine learning to compare facial features across a large dataset, producing both a percentile ranking and a standard deviation score.

2. What do the demographic breakdowns mean?
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Breakdowns are our model's prediction of howyour face is perceived by different demographic groups, based on aggregated voting patterns on our dataset of AI-generated faces.

3. Is my photo shared or used to train the model?
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No. Uploaded images are processed securely and are accessible only by you. Your photos are not used to the train the model. The model is solely trained on votes on AI-generated faces.

4. How accurate are the results?
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Our model’s predictions correlate strongly with large‑scale human voting patterns, but individual subjection is still subjective.

5. Can I retake or update my analysis?
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Yes. You can upload new photos anytime to see how lighting, expression, or hairstyle affect your results.

6. Does Areum work for all ethnicities and genders?
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Yes. The dataset includes ratings across diverse groups to ensure fairness and representation, though we continue improving balance as new data comes in.

7. What’s the purpose of Areum?
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Areum is an aesthetics research lab exploring how people perceive beauty through data. Our goal is to make aesthetic perception measurable, transparent, and open for scientific study.

1. How does Areum calculate my facial rating?
icon

Areum’s model is trained on millions of real human votes on AI-generated faces. It uses statistical analysis and machine learning to compare facial features across a large dataset, producing both a percentile ranking and a standard deviation score.

2. What do the demographic breakdowns mean?
icon

Breakdowns are our model's prediction of howyour face is perceived by different demographic groups, based on aggregated voting patterns on our dataset of AI-generated faces.

3. Is my photo shared or used to train the model?
icon

No. Uploaded images are processed securely and are accessible only by you. Your photos are not used to the train the model. The model is solely trained on votes on AI-generated faces.

4. How accurate are the results?
icon

Our model’s predictions correlate strongly with large‑scale human voting patterns, but individual subjection is still subjective.

5. Can I retake or update my analysis?
icon

Yes. You can upload new photos anytime to see how lighting, expression, or hairstyle affect your results.

6. Does Areum work for all ethnicities and genders?
icon

Yes. The dataset includes ratings across diverse groups to ensure fairness and representation, though we continue improving balance as new data comes in.

7. What’s the purpose of Areum?
icon

Areum is an aesthetics research lab exploring how people perceive beauty through data. Our goal is to make aesthetic perception measurable, transparent, and open for scientific study.

1. How does Areum calculate my facial rating?
icon

Areum’s model is trained on millions of real human votes on AI-generated faces. It uses statistical analysis and machine learning to compare facial features across a large dataset, producing both a percentile ranking and a standard deviation score.

2. What do the demographic breakdowns mean?
icon

Breakdowns are our model's prediction of howyour face is perceived by different demographic groups, based on aggregated voting patterns on our dataset of AI-generated faces.

3. Is my photo shared or used to train the model?
icon

No. Uploaded images are processed securely and are accessible only by you. Your photos are not used to the train the model. The model is solely trained on votes on AI-generated faces.

4. How accurate are the results?
icon

Our model’s predictions correlate strongly with large‑scale human voting patterns, but individual subjection is still subjective.

5. Can I retake or update my analysis?
icon

Yes. You can upload new photos anytime to see how lighting, expression, or hairstyle affect your results.

6. Does Areum work for all ethnicities and genders?
icon

Yes. The dataset includes ratings across diverse groups to ensure fairness and representation, though we continue improving balance as new data comes in.

7. What’s the purpose of Areum?
icon

Areum is an aesthetics research lab exploring how people perceive beauty through data. Our goal is to make aesthetic perception measurable, transparent, and open for scientific study.