Identify hotel chains
using AI
Below is a free classifier to identify hotel chains. Just upload your image, and our AI will predict what hotel chain it belongs to - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("hotel-chains", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/hotel-chains/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/hotel-chains/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what hotel chain it belongs to.
This pretrained image model uses a Nyckel-created dataset and has 30 labels, including Airport Hotels, All Inclusive Resorts, Bed And Breakfasts, Boutique Hostels, Boutique Hotels, Budget Hotels, Business Class Hotels, Business Hotels, Capsule Hotels and Castles And Palaces.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what hotel chain it belongs to).
Whether you're just curious or building hotel chains detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify hotel chains at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Compliance Monitoring: Hotel chains can utilize the false image classification function to monitor their online presence. This function can detect and flag images that falsely represent the brand's identity, helping to maintain consistent branding across various platforms.
- Marketing Material Verification: Before using promotional images in advertising campaigns, hotel chains can verify that the images accurately represent their properties. This function ensures that only genuine and relevant photos are used, enhancing brand credibility and trust among prospective guests.
- Content Moderation for User-Generated Content: Hotel chains can use this classification function to filter user-generated images on social media or review platforms. By identifying false images, they can take necessary action to protect their reputation and ensure authentic guest experiences are highlighted.
- Visual Analytics for Customer Insights: By analyzing non-compliant or false images associated with their brand, hotel chains can gain insights into customer perceptions. This could inform future marketing strategies or adjustments in guest services based on how their image is perceived compared to the reality.
- Quality Assurance in Franchise Operations: Hotel chains with franchise models can implement the false image classification function to monitor how their franchisees represent the brand visually. This ensures franchisees adhere to the brand's standards and aligns the imagery used across all locations.
- Reputation Management for Online Reviews: When customers leave reviews with images, false representation can mislead potential guests. This function allows hotel chains to identify and address misleading images promptly, protecting their online reputation and ensuring transparency.
- Competitive Analysis: Hotel chains can leverage the image classification function to monitor competitors' branding efforts. By assessing false representations in their rivals' imagery, hotel chains can better understand market dynamics and refine their strategies for competitive advantage.