Identify likely ethnicity
using AI
Below is a free classifier to identify likely ethnicity. Just upload your image, and our AI will predict the likely ethnicity based on the given characteristics - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("likely-ethnicity-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/likely-ethnicity-identifier/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/likely-ethnicity-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the likely ethnicity based on the given characteristics.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including African and Caucasian.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the likely ethnicity based on the given characteristics).
Whether you're just curious or building likely ethnicity detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify likely ethnicity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Market Research: Businesses can use this function to understand the ethnic diversity of users engaging with their product or service. It can help tailor marketing strategies to specific ethnic groups, allowing for more targeted and effective campaigns.
- Content Personalization: Streaming platforms or media companies can use this function to personalize the content they recommend to users based on their identified ethnicity, potentially improving user engagement and satisfaction.
- Health Research: Pharmaceutical companies and healthcare providers can use this function in research studies to identify correlations between certain health conditions and ethnicities, aiding in the development of more personalized treatments.
- Customer Segmentation: Retailers can use this function to segment their customer base by ethnicity. This can enhance understanding of customer preferences and behavior, leading to improved product offerings and advertising.
- Sociological Studies: Researchers can use this function to conduct sociological studies on representation and visibility of various ethnic groups in different areas like media, political platforms, or workforce, contributing to social justice efforts.
- Augmented Reality Apps: Developers can use this function in AR applications to create personalized user experiences. For example, a virtual makeup app can suggest products that complement an individual's skin tone based on their ethnicity.
- AI Training: Tech companies can use this function to diversify the data used in training AI models, ensuring that these models perform accurately and equitably across a wide range of ethnicities.