Education Tools
AI Detectors
How normal am I?

How normal am I?

0.00

Analyzes facial features for beauty, age, BMI, and more, ensuring privacy by processing data on your device.

Visit website

What is How normal am I??

Based on the document "how-normal-am-i.pdf," "How normal am I?" is an interactive experience that uses your webcam to analyze your facial features in real-time, providing insights into aspects like beauty, age, BMI, gender, and life expectancy based on your face. It is designed to be privacy-friendly, with all data analysis taking place on your device without any data being sent to a server. The project was created with support from the European Union and as part of the Sherpa research program, examining AI's societal impact. The project avoids using the term "Artificial Intelligence" in favor of terms like "machine learning" or "statistics on steroids" due to concerns about the intelligence of these systems. The models used for beauty scoring, age prediction, gender detection, and BMI analysis were sourced from open projects on GitHub, with a focus on privacy and transparency regarding model training data. Additionally, the test ensures the privacy of personal data by running all face detection algorithms on the user's own computer in the browser without sending any data to outside servers.

Who created How normal am I??

"How Normal Am I?" was created by Tijmen Schep as part of the European Union's Sherpa research program. Tijmen Schep designed this privacy-friendly test to demonstrate how face detection algorithms evaluate individuals without collecting personal data, emphasizing respect for privacy throughout the analysis process.

What is How normal am I? used for?

Showcasing how artificial intelligence can assess and judge faces based on criteria like beauty, age, and more.
Providing insights into AI evaluation of aspects such as beauty, age, BMI, gender, and life expectancy based on facial features.
Engaging users in various analyses including beauty scores, BMI assessment, and life expectancy predictions.
Ensuring privacy by running face detection algorithms locally in the browser without sending data to servers.
Offering an interactive experience using webcam analysis, with no personal data collected or sent to a server.
Limiting data shared to the end of the analysis, which is completely anonymized.
Accessible via web browser, with full functionality exclusively on the Safari browser for iPhone and iPad users.
Supported by the European Union under the Sherpa research program to explore AI's societal impact.
Creating an art project to demonstrate the use of AI in evaluating facial features while respecting user privacy.
Allowing users to share anonymous data for re-calculation of new averages without sharing further identifiable information.
Art project showcasing how AI can assess and judge faces based on criteria like beauty, age, and more
Provides an interactive experience using webcam analysis of facial features in real time
Respects user privacy by analyzing data locally on the device without sending it to servers
Supported by the European Union under the Sherpa research program to explore AI's societal impact
Engages users with analyses of beauty scores, BMI assessments, and life expectancy predictions
Designed to be insightful while ensuring user privacy and anonymizing shared data
Exclusive functionality on Safari browser for iPhone and iPad users due to Apple's camera access restrictions
Uses machine learning models to provide evaluations based on pre-trained algorithms from open source projects
Utilizes face detection algorithms to assess features like beauty, age, gender, BMI, and life expectancy
Involves sharing anonymized data to recalculate averages without further data sharing
Facial features analysis (beauty, age, BMI, gender, life expectancy)
Privacy-friendly evaluation using face detection algorithms
Interactive engagement with beauty scores, BMI assessment, and life expectancy predictions
European Union supported project as part of the Sherpa research program
Art project designed to showcase AI's abilities to assess faces based on specific criteria
Browser-based accessibility especially on Safari for iPhone and iPad users
Use of machine learning models for beauty scoring, age prediction, gender detection, and emotion analysis
Avoidance of personal data collection with all face detection algorithms running on the user's computer
Creation of videos and visuals using public domain sources like pexels.com and Pixabay.com
Participation in a research program funded by the European Union

Who is How normal am I? for?

Artificial Intelligence Analysts
Digital artists
Researchers
Data scientists

How to use How normal am I??

Here is a step-by-step guide on how to use "How Normal Am I?":

Access the Tool: Visit the How Normal Am I? website on your web browser, with full functionality available exclusively on Safari for iPhone and iPad users.
Understand the Purpose: This tool is an art project demonstrating how AI assesses faces based on criteria like beauty, age, BMI, gender, and more.
Camera Access: Allow the tool to access your camera for analyzing your face. No personal data is collected or sent to any servers.
Privacy Guarantee: The face detection algorithms run locally on your browser, ensuring your privacy throughout the process.
Interaction: Engage with the tool as it provides analyses such as beauty scores, BMI assessments, and life expectancy predictions in an interactive format.
European Union Support: This project is created with the support of the European Union as part of the Sherpa research program to examine AI's societal impact.
Sharing Anonymized Data: At the end of the analysis, you have the option to share anonymized data, which is used to recalculate the new average without further sharing.
Terms and Conditions: Read the terms and conditions of the tool, emphasizing that no personal data is sent to their server, and all face detection algorithms run on your own computer.
Creator and Source: The tool was created by Tijmen Schep as part of the Sherpa research program supported by the European Union. Various machine learning models and visual materials were sourced from open projects and public domain sites like pexels.com and Pixabay.com.
Enjoy the Experience: Have fun exploring how AI judges your face using this innovative and privacy-friendly tool!

You can access the tool at the How Normal Am I? website and experience the interactive analysis of your facial features while ensuring your privacy is maintained throughout the process.

Pros

Privacy-Friendly Evaluation: Your privacy is guaranteed as the face detection algorithms run locally on your browser without sending data to any servers.
Artificial Intelligence Analysis: Experience firsthand how AI algorithms judge your facial features to define 'normal'.
Browser-Based Accessibility: Easy access using your web browser with full functionality exclusively on the Safari browser for iPhone and iPad users.
European Union Supported: A project created with support from the European Union as a part of the Sherpa research program to examine AI's societal impact.
Interactive Engagement: Engage with various analyses including beauty scores BMI assessment and life expectancy predictions in a user-interactive format.
Privacy-Friendly Evaluation
Artificial Intelligence Analysis
Browser-Based Accessibility
European Union Supported
Interactive Engagement

Cons

The tool purposefully avoids using the term 'Artificial Intelligence', which might be considered a limitation in the context of other AI tools in the industry.
Most machine learning models used were pre-trained from open source projects, potentially limiting the tool's customization and accuracy compared to models trained specifically for the task at hand.
The BMI prediction algorithm had to be trained by the creator due to the unavailability of suitable existing models online, indicating potential limitations in the tool's range of functionalities.
Concerns were raised about the data used for training some models such as FaceApiJS, with difficulties in detecting certain features correctly, like 'Asian guys'.
The tool may lack transparency in terms of the data sources used for training certain models, as some details were not fully disclosed by developers.
Limited information was available about the 'Closer/Face Print' feature, potentially indicating a lack of clarity or documentation on this aspect.
The tool might not provide a comprehensive evaluation of facial features as it relies on algorithms that are 'generic and one size fits all', which could limit the accuracy and specificity of assessments.
Some visual material used in the project was sourced from public domain platforms like pexels.com and Pixabay.com, which may raise concerns about originality and uniqueness of the tool's output.
Emotion AI researchers have expressed concerns over exaggerated claims in the field, which could impact the tool's reliability in emotional analysis.
The tool's effectiveness and accuracy in predicting life expectancy rely on a simple lookup in a table of life expectancies per country and average BMI, suggesting potential oversimplification in the calculations.

Pros

Cons

Privacy-Friendly Evaluation: Your privacy is guaranteed as the face detection algorithms run locally on your browser without sending data to any servers.
Artificial Intelligence Analysis: Experience firsthand how AI algorithms judge your facial features to define 'normal'.
Browser-Based Accessibility: Easy access using your web browser with full functionality exclusively on the Safari browser for iPhone and iPad users.
European Union Supported: A project created with support from the European Union as a part of the Sherpa research program to examine AI's societal impact.
Interactive Engagement: Engage with various analyses including beauty scores BMI assessment and life expectancy predictions in a user-interactive format.
Privacy-Friendly Evaluation
Artificial Intelligence Analysis
Browser-Based Accessibility
European Union Supported
Interactive Engagement

The tool purposefully avoids using the term 'Artificial Intelligence', which might be considered a limitation in the context of other AI tools in the industry.
Most machine learning models used were pre-trained from open source projects, potentially limiting the tool's customization and accuracy compared to models trained specifically for the task at hand.
The BMI prediction algorithm had to be trained by the creator due to the unavailability of suitable existing models online, indicating potential limitations in the tool's range of functionalities.
Concerns were raised about the data used for training some models such as FaceApiJS, with difficulties in detecting certain features correctly, like 'Asian guys'.
The tool may lack transparency in terms of the data sources used for training certain models, as some details were not fully disclosed by developers.
Limited information was available about the 'Closer/Face Print' feature, potentially indicating a lack of clarity or documentation on this aspect.
The tool might not provide a comprehensive evaluation of facial features as it relies on algorithms that are 'generic and one size fits all', which could limit the accuracy and specificity of assessments.
Some visual material used in the project was sourced from public domain platforms like pexels.com and Pixabay.com, which may raise concerns about originality and uniqueness of the tool's output.
Emotion AI researchers have expressed concerns over exaggerated claims in the field, which could impact the tool's reliability in emotional analysis.
The tool's effectiveness and accuracy in predicting life expectancy rely on a simple lookup in a table of life expectancies per country and average BMI, suggesting potential oversimplification in the calculations.

How normal am I? FAQs

What is 'How Normal Am I'?: An art project designed to showcase how artificial intelligence can assess and judge faces based on certain criteria like beauty, age, and more.

Does the 'How Normal Am I' test require camera access?: Yes, access to your camera is required to analyze your face, but none of your personal data is collected or sent to any servers.

Can I use any browser to take the 'How Normal Am I' test on my Apple devices?: On iPhone and iPad, it will only work on the Safari browser due to Apple's restrictions on camera access.

Is my personal data safe while using 'How Normal Am I' experience?: The face detection algorithms will run on your own computer in the browser, maintaining your privacy throughout the process.

Who created 'How Normal Am I?' and why?: The project was created by Tijmen Schep and was made as part of the European Union's Sherpa research program.