Identify skin texture appearance
using AI
Below is a free classifier to identify skin texture appearance. Just upload your image, and our AI will predict the appearance of different skin textures. - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("skin-texture-appearance", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/skin-texture-appearance/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-texture-appearance/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the appearance of different skin textures..
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Blemished, Bumpy, Clear, Dry, Dull, Flaky, Glossy, Irregular, Loose and Matte.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the appearance of different skin textures.).
Whether you're just curious or building skin texture appearance detection into your application, we hope our classifier proves helpful.
Need to identify skin texture appearance at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Dermatology Diagnosis Support: The skin texture appearance identifier can assist dermatologists by providing preliminary assessments of skin conditions based on texture analysis. By classifying conditions like eczema, psoriasis, and acne, it can help streamline appointments and facilitate quicker treatment decisions.
- Cosmetic Product Development: Cosmetic companies can utilize this technology to analyze the skin texture of different demographics. By understanding various skin textures, they can tailor their product formulations to meet the specific needs of different skin types effectively.
- Skincare Routine Personalization: Beauty apps can integrate this function to provide personalized skincare advice based on users' skin texture. Users can receive specific product recommendations and routines that suit their unique skin conditions, enhancing customer satisfaction and engagement.
- Clinical Trials Monitoring: Pharmaceutical companies can leverage this identifier in clinical trials for new dermatological treatments. By objectively measuring skin texture changes over time, researchers can gather critical data to evaluate the efficacy and safety of the treatments under investigation.
- Telehealth Consultations: Telehealth platforms can enhance their service by integrating this identifier, allowing doctors to remotely analyze a patient's skin condition. This functionality can improve the accuracy of diagnoses and the effectiveness of treatment plans when in-person visits are not possible.
- Skin Health Education: Educational platforms aiming to promote skin health can use the identifier to help users visualize and understand different skin textures. It can provide interactive tools that educate individuals on maintaining healthy skin and recognizing potential skincare issues.
- Aging Analysis: The identifier can assist in analyzing skin texture changes associated with aging. By providing users with insights into their skin texture evolution over time, individuals can make informed decisions about anti-aging products or therapies tailored to their needs.