Identify count of women in a gym
using AI
Below is a free classifier to identify count of women in a gym. Just upload your image, and our AI will predict the count of women in a gym based on their features and activities - 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("count-of-women-in-a-gym", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/count-of-women-in-a-gym/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/count-of-women-in-a-gym/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the count of women in a gym based on their features and activities.
This pretrained image model uses a Nyckel-created dataset and has 15 labels, including 0, 1, 11-15, 16-20, 2, 21-25, 26-30, 3, 31-35 and 36-40.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the count of women in a gym based on their features and activities).
Whether you're just curious or building count of women in a gym detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify count of women in a gym at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Gym Demographics Analysis: This function can be utilized by gym owners to analyze the gender demographic of their clients. By identifying the count of women in the gym, owners can tailor marketing strategies and programs to better attract and retain female members.
- Targeted Marketing Campaigns: Fitness brands can leverage this function to design targeted marketing campaigns aimed at women. Knowing the count of women frequenting gyms allows companies to offer promotions, products, or classes that align with their interests and preferences.
- Diversity and Inclusion Initiatives: Organizations can implement this image classification function to monitor the representation of women in gym spaces over time. This data can guide diversity and inclusion initiatives, helping to ensure equal access and support for all genders in fitness environments.
- Safety and Security Monitoring: Gym management can utilize the count of women in the gym to enhance safety measures during peak hours. By understanding the gender ratio, they can adjust staffing and security protocols to ensure a safe environment for all members.
- Class Attendance Optimization: Fitness studios can analyze the gender composition in various classes to optimize scheduling and offerings. If classes are predominantly attended by women, studios can introduce more women-centric classes, improving satisfaction and participation rates.
- Community Building Activities: Gyms can use the count of women present to plan community-building activities or events specifically for female members. These initiatives can enhance member engagement and create a supportive environment that fosters connection.
- Member Retention Strategies: By monitoring the number of women attending the gym, management can identify trends related to retention. If participation declines, targeted outreach can be developed to address concerns and re-engage female members, ultimately improving retention rates.