Identify eyelid functions
using AI
Below is a free classifier to identify eyelid functions. Just upload your image, and our AI will predict the specific eyelid function present in the image - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("eyelid-functions", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/eyelid-functions/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/eyelid-functions/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the specific eyelid function present in the image.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Blepharospasm, Drooping, Ectropion, Entropion, Epiphora, Exophthalmos, Eyelid Asymmetry, Eyelid Infection, Eyelid Inflammation and Eyelid Lesion.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the specific eyelid function present in the image).
Whether you're just curious or building eyelid functions detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify eyelid functions at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Medical Diagnosis Support: This function can assist ophthalmologists in diagnosing conditions related to the eyelids, such as ptosis or blepharitis. By accurately classifying eyelid images, it aids in quicker and more consistent diagnoses, improving patient outcomes.
- Telemedicine Integration: Integrating the eyelid functions identifier in telemedicine platforms allows remote evaluations of eyelid conditions. Patients can upload images for preliminary analysis, facilitating quicker consultations and reducing the burden on in-person visits.
- Cosmetic Procedure Planning: Cosmetic surgeons can use this function to assess eyelid conditions before surgeries like blepharoplasty. By precisely classifying eyelid images, surgeons can tailor their procedures to individual aesthetics and medical needs.
- Clinical Research Applications: Researchers can utilize the eyelid functions identifier to compile large datasets for studying eyelid-related conditions. This enhances the reliability of findings by providing consistent categorizations across various images.
- Patient Education Tools: The function could be integrated into patient education platforms to illustrate different eyelid conditions visually. Users can view classifications of eyelid images, helping them understand potential issues and treatment options more clearly.
- AI-Driven Teleophthalmology: In teleophthalmology, deploying this classification function can enhance AI diagnostics. It can automatically categorize eyelid images, streamlining the review process for healthcare providers and enabling timely interventions.
- Image Archiving and Retrieval Systems: This function can organize and classify a medical image database by eyelid conditions, enhancing the searchability of cases. Healthcare providers can quickly retrieve images for study or comparison based on specific eyelid function classifications.