Identify available workout areas
using AI
Below is a free classifier to identify available workout areas. Just upload your image, and our AI will predict what workout area is available - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("available-workout-areas", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/available-workout-areas/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/available-workout-areas/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what workout area is available.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Athletic Field, Basketball Court, Boxing Area, Cardio Area, Cycling Studio, Dance Studio, Functional Training Zone, Group Fitness Room, Gymnastics Area and Outdoor Workout Area.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what workout area is available).
Whether you're just curious or building available workout areas detection into your application, we hope our classifier proves helpful.
Need to identify available workout areas at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Gym Space Optimization: This function can be used by fitness centers to identify available workout areas in real-time, allowing managers to optimize the use of space. By analyzing occupancy levels, gyms can rearrange equipment or schedule classes to ensure maximal usage and reduce overcrowding.
- Virtual Workout Class Planning: Online fitness platforms can utilize this identifier to design virtual workout sessions based on the availability of physical areas in their partnered gym facilities. This feature will enhance user experience by guiding customers to book classes at times when resources are readily available.
- Facility Maintenance Scheduling: Gym operators can leverage this function to manage maintenance and cleaning schedules based on the identification of available workout areas. By analyzing occupancy data, facilities can ensure that maintenance occurs during periods of lower usage, thereby minimizing disruption to gym-goers.
- Customer Experience Enhancement: Fitness apps can integrate this technology to notify users of available workout spaces in real-time, improving their experience during peak hours. By providing instant updates, customers can choose less crowded times and areas for their workouts, leading to higher satisfaction.
- Dynamic Pricing Strategy: This function could support a dynamic pricing model for gyms, where pricing adjustments are made based on the availability of workout areas. During peak times, prices can increase as a way to manage demand, while lower prices can attract users during less busy periods.
- Event Planning and Management: This identifier can assist gyms in planning and managing fitness events or competitions by identifying which areas are available for use. This allows organizers to allocate space efficiently, ensuring safety and comfort for participants and spectators.
- Personal Training Allocation: Personal trainers can utilize this system to find and reserve workout areas for their clients, facilitating better session planning and execution. By ensuring that trainers have ample space for their sessions, gyms can elevate the quality of personal training services provided.