Identify airline seating chart
using AI
Below is a free classifier to identify airline seating chart. Just upload your image, and our AI will predict the seating arrangement for various airline configurations. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("airline-seating-chart", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/airline-seating-chart/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/airline-seating-chart/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the seating arrangement for various airline configurations..
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Aisle Seat, Aisle Seat - Business Class, Aisle Seat - Economy Class, Aisle Seat - First Class, Aisle Seat - Premium Economy, Bulkhead Seat, Business Class, Center Section, Economy Class and Exit Row.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the seating arrangement for various airline configurations.).
Whether you're just curious or building airline seating chart detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify airline seating chart at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Passenger Seating Preferences: Airlines can utilize the false image classification function to analyze passengers' seating preferences through social media images and posts. By identifying specific features associated with seat choices, airlines can tailor their marketing strategies to promote preferred seating arrangements and amenities.
- Dynamic Pricing Strategy: Airlines can employ this technology to classify images of seating charts to gauge demand during different travel periods. By understanding how seating configurations affect passenger experiences, airlines can implement dynamic pricing strategies based on visual data analysis of occupancy rates and seat quality.
- In-flight Service Optimization: The false image classification function can help airlines identify common seating layouts and occupant densities to optimize staffing and in-flight service offerings. By mapping out seating arrangements, airlines can allocate crew resources more effectively and improve customer service efficiency.
- Accessibility Compliance Monitoring: Airlines can use the classification system to verify that seating arrangements adhere to accessibility standards. This function can assess seating charts to ensure that designated seats for passengers with disabilities are available and comply with regulations.
- Competitive Analysis: Airlines can analyze competitors’ seating charts through image classification to identify unique features, such as legroom, recline capabilities, and in-seat entertainment. This competitive intelligence can inform airlines’ product development to enhance their seating offerings.
- Passenger Emotion Analysis: By classifying images related to airline seating charts, companies can connect metadata from social media posts to gauge passenger sentiments about specific seating experiences. This analysis can provide insights into customer satisfaction and inform future seating layout changes.
- Marketing Campaign Development: Airlines can leverage the image classification function to identify popular seating arrangements used in marketing materials across the industry. By understanding which seating configurations attract the most attention, they can develop targeted marketing campaigns highlighting their unique seating features.