Identify skin bumps using AI

Below is a free classifier to identify skin bumps. Just upload your image, and our AI will predict the type of skin bump it is - in just seconds.

skin bumps identifier

For informational purposes only. Nyckel is not offering official medical advice. Please always seek our professional assistance before making any healthcare decisions.

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("skin-bump-identifier", "your_image_url", credentials)
                

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

How this classifier works

To start, upload your image. Our AI tool will then predict the type of skin bump it is.

This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Benign Mole and Pimple.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of skin bump it is).

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

Recommended Classifiers

Need to identify skin bumps at scale?

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



  • Dermatology Clinics: Dermatologists could use this image classification function to optimize the preliminary diagnostic process by identifying various skin conditions including benign moles, pimples, and more. Patients would be able to get a primary analysis before meeting the doctor, saving valuable time for both parties.

  • Telemedicine: The pandemic spurred the development of telemedicine services. A skin bump identifier would let healthcare professionals diagnose skin conditions remotely, providing convenience and safety for patients and doctors alike.

  • Beauty and Skincare Companies: Cosmetic companies can utilize the tool to identify skin problems unique to their customers to help recommend suitable skincare products that specifically target these problems.

  • Medical Training: The tool could be used as a training source for medical students, helping them learn how to identify skin conditions more efficiently and accurately.

  • Personal Skincare Apps: Apps could integrate this function to help users monitor changes in their skin health over time. Users could upload images and get information about potential skin conditions, enhancing self-care routines.

  • Online Pharmacies: This tool can serve as an initial diagnosis platform for online pharmacies. Customers can upload images of their skin condition, and the tool can assist in recommending over-the-counter products that could potentially aid their condition.

  • Health Insurance Companies: Health insurers could employ this function to better understand the medical conditions of their clients, leading to more comprehensive coverage plans and swifter insurance claim processes.

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