A pretrained if hotel is open classifier that sorts an image into one of 2 categories. Use the if hotel is open API immediately, no training required, then adapt it to your own data when you need more.
Drop in a photo and get the prediction back. No signup, no setup.
A sample of the 2 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Once you've added this classifier to your console, you get your own copy of it behind your own endpoint. Invoke it with any HTTP client:
curl
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer $NYCKEL_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'Python
import requests
# Get an access token: https://www.nyckel.com/docs/api/overview/authentication/
token = "YOUR_ACCESS_TOKEN"
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer " + token},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())Example response
{
"labelName": "Hotel Closed",
"labelId": "label_...",
"confidence": 0.92
}Trained on a Nyckel-curated dataset covering 2 if hotel is open categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
Hotels can use the 'if hotel is open' identifier to provide real-time updates on their operational status through various platforms. This allows potential guests to easily confirm whether they can book a stay, enhancing the guest experience and increasing occupancy rates.
The identifier can trigger automated marketing campaigns based on a hotel's operational status. For instance, if a hotel is open, targeted promotions can be sent to previous guests or potential customers, increasing engagement and bookings during the open season.
Customer service teams can utilize the identifier to streamline inquiries about hotel availability. By automatically providing guests with information on whether the hotel is open, support agents can focus on more complex queries, improving overall service efficiency.
The identifier can feed into dynamic pricing algorithms to adjust rates based on the hotel's operational status. If the hotel is open and experiencing high demand, prices can be raised accordingly; conversely, if the hotel is closed, promotions can be offered when it reopens.
Online travel agencies and booking platforms can integrate the 'if hotel is open' identifier to enhance the accuracy of their listings. This ensures that customers only see available hotels, reducing the frustration of booking accommodations that are not open.
Hotels can partner with local businesses, utilizing the identifier to create combined offers when they are open. For example, if a hotel is open, it could offer discounts for local tours or dining, benefiting both the hotel and local businesses.
In times of crisis or emergencies (e.g., pandemics, natural disasters), the identifier can play a crucial role in timely communication. Hotels can quickly update their status as open or closed, ensuring guests and stakeholders receive accurate information to make informed travel decisions.
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
No. This if hotel is open classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.