Identify gender of optometrist
using AI
Below is a free classifier to identify gender of optometrist. Just upload your image, and our AI will predict if the optometrist is male or female - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("gender-of-optometrist", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-optometrist/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/gender-of-optometrist/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the optometrist is male or female.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Optometrist and Male Optometrist.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the optometrist is male or female).
Whether you're just curious or building gender of optometrist detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify gender of optometrist at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Preference Analysis: By identifying the gender of optometrists, clinics can analyze patient preferences for male or female eye care professionals. This data can help clinics tailor their marketing strategies and improve patient satisfaction by aligning them with patient inclinations.
- Diversity Reporting: Optometry practices can utilize gender classification to measure diversity within their staff. This information can be critical for reporting to stakeholders or for internal assessments aimed at promoting equity and inclusion in hiring practices.
- Targeted Marketing Campaigns: Clinics can create targeted marketing campaigns based on the gender of their optometrists. By understanding the demographics of their practitioners, they can craft messages that resonate with different patient groups and foster a more personalized approach.
- Gender Bias Studies: Researchers and institutions can leverage gender classification to conduct studies on bias in patient treatment. Understanding whether gender influences the types of patients received or treatments prescribed can lead to better practices and education in the field.
- Appointment Scheduling Optimization: By analyzing the gender of optometrists along with patient demographics, practices can optimize their appointment scheduling. This can enhance the patient experience by ensuring that scheduling preferences align with patient comfort levels concerning gender.
- Resource Allocation Strategies: Eye care facilities can use gender classification to inform their staffing and resource allocation strategies. By understanding the distribution of male and female practitioners, they may adjust recruitment practices and training programs to balance gender representation.
- Mentor-Mentee Pairing Programs: Optometry schools or practices can utilize gender identifiers to implement mentorship programs that encourage diverse pairings. By matching mentors and mentees by gender, they can promote role models for underrepresented groups in optometry, fostering a supportive professional environment.