API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("how-sweaty-someone-is", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/how-sweaty-someone-is/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/how-sweaty-someone-is/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict how sweaty someone is.

This pretrained image model uses a Nyckel-created dataset and has 5 labels, including Extremely Sweaty, Moderately Sweaty, Not Sweaty, Slightly Sweaty and Very Sweaty.

We'll also show a confidence score (the higher the number, the more confident the AI model is around how sweaty someone is).

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

Need to identify how sweaty someone is at scale?

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

Fitness Tracking: This feature can be integrated into fitness applications to provide users with insights into their perspiration levels during workouts. By analyzing sweat production, users can optimize their hydration strategies and improve their training effectiveness.

Wearable Technology: Smart wearables can incorporate this function to monitor sweat levels in real-time. This can alert users when they are sweating excessively, helping them avoid dehydration or heat-related issues during physical activities.

Health Monitoring for Patients: Healthcare providers can use this feature to assess patients who may be experiencing issues related to sweating, such as hyperhidrosis or endocrine disorders. By continuously monitoring sweat levels, physicians can tailor treatments and track the effectiveness of interventions.

Sports Performance Analysis: Coaches and sports analysts can leverage this function to evaluate athletes' performance under different environmental conditions. By correlating sweat levels with performance metrics, they can identify optimal conditions for training and competition.

Workplace Environment Assessment: Businesses can use this technology to monitor employee comfort levels in various environments, such as manufacturing plants or outdoor job sites. By gauging sweat levels, employers can make informed decisions about ventilation, climate control, and workload on hot days.

Clothing and Gear Development: Apparel companies can utilize this function to design sweat-wicking fabrics and performance gear. By understanding how different materials interact with sweat levels, they can create products that improve comfort and effectiveness for active individuals.

Event Management: Organizers of outdoor events and festivals can implement this technology to monitor attendees' sweat levels for crowd management and safety. By identifying high-sweat zones through real-time data, they can implement cooling measures effectively to enhance visitor comfort and enjoyment.

Identify how sweaty someone is using AI

API Access

How this classifier works

Need to identify how sweaty someone is at scale?