Identify body fat percentage using AI

Below is a free classifier to identify body fat percentage. Just upload your image, and our AI will predict body fat percentage based on your input data - in just seconds.

body fat percentage identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("body-fat-percentage", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/body-fat-percentage/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/body-fat-percentage/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict body fat percentage based on your input data.

This pretrained image model uses a Nyckel-created dataset and has 11 labels, including 10-15%, 15-20%, 20-25%, 25-30%, 30-35%, 35-40%, 40-45%, 45-50%, 5-10% and 50%+.

We'll also show a confidence score (the higher the number, the more confident the AI model is around body fat percentage based on your input data).

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

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Need to identify body fat percentage at scale?

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



  • Fitness App Integration: The body fat percentage identifier can be integrated into fitness applications to provide users with real-time data about their body composition. This feature can enhance personalized workout and nutrition plans, helping users to set and track their fitness goals more effectively.

  • Health Insurance Assessments: Insurance companies can use this function to assess policy applicants' body fat percentages as part of their risk evaluation process. By automating this assessment, insurers can streamline underwriting decisions and potentially offer tailored premiums based on body composition data.

  • Corporate Wellness Programs: Companies can implement the body fat percentage identifier in their employee wellness programs to promote healthy lifestyles. By periodically measuring body composition, organizations can encourage employees to participate in fitness challenges, which can enhance overall health and reduce healthcare costs.

  • Personal Trainer Tools: Personal trainers can utilize this technology to gain insights into their clients' body fat percentages without needing expensive equipment. This allows trainers to adjust fitness regimens and nutritional advice efficiently, providing targeted and measurable outcomes for their clients.

  • Sports Performance Optimization: Athletic coaches can employ the body fat percentage identifier to monitor their athletes' body compositions. Understanding body fat levels can help in optimizing training regimens, enhancing performance, and managing the risk of injuries through better weight and diet control.

  • Nutritional Counseling Services: Nutritionists can use this identifier to provide evidence-based dietary advice tailored to clients' body fat percentages. By showcasing how dietary changes affect body composition, professionals can create more engaging and educational experiences for their clients.

  • Research and Studies in Obesity: Researchers can implement the body fat percentage identifier in studies to gather data related to obesity and body composition. This information can lead to deeper insights in public health studies, informing strategies for combating obesity and promoting healthier lifestyles in various demographics.

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