Identify smiling using AI

Below is a free classifier to identify smiling. Just upload your image, and our AI will predict whether someone is smiling or not - in just seconds.

smiling identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("smiling-identifier", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/smiling-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/smiling-identifier/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict whether someone is smiling or not.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Smiling and Not Smiling.

We'll also show a confidence score (the higher the number, the more confident the AI model is around whether someone is smiling or not).

Whether you're just curious or building smiling detection into your application, we hope our classifier proves helpful.

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Need to identify smiling at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Customer Satisfaction Monitoring: A business that wishes to monitor customer satisfaction can use the 'smiling' identifier to track customer reactions during their time within the business premises. It helps to provide real-time feedback about clients' satisfaction levels.

  • Employee Morale Evaluation: HR department can use this system to determine the mood of employees in the workplace. If they notice the trend of employees not smiling frequently, it can be a signal to provide morale-boosting activities.

  • Ad Campaign Analysis: Businesses can use these machine learning algorithms to evaluate customer reactions during ad campaigns. By analyzing the intensity or frequency of smiling, they can discern the success of the campaign.

  • Feedback Collection In Retail: In stores with a camera system, the 'smiling' identifier can be used to evaluate customer mood – a possible indicator of their satisfaction or dissatisfaction with the products or services.

  • Telecommunications Evaluation: This tool can be used in call centers to evaluate the happiness level of the customers while speaking to the customer service representatives, capturing visual data if a video component is involved.

  • Market Research: The 'smiling' identifier can be used during product testing or focus groups to gauge reactions to different products, services, or concepts. This can provide a deeper level of understanding about the consumer's emotional response.

  • Hospitality Industry Feedback: Hotels, restaurants, and other hospitality businesses can use the 'smiling' identifier on security videos with customers' consent to evaluate and ensure customer satisfaction during their visit.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access