Identify if there's a water fountain using AI

Below is a free classifier to identify if there's a water fountain. Just upload your image, and our AI will predict if there's a water fountain - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-there's-a-water-fountain", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-there's-a-water-fountain/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/if-there's-a-water-fountain/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if there's a water fountain.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including No Water Fountain and Water Fountain Present.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if there's a water fountain).

Whether you're just curious or building if there's a water fountain detection into your application, we hope our classifier proves helpful.

Need to identify if there's a water fountain at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Facility Management: This use case involves automating the monitoring of public spaces to ensure the availability of water fountains. By using image classification, facility managers can receive real-time alerts about maintenance needs, ensuring that water fountains are operational and accessible to the public.

Urban Planning: Urban planners can utilize water fountain identification to analyze the spatial distribution of public amenities in parks and urban areas. This information can help inform decisions about future developments and improvements to enhance public accessibility and community engagement.

Tourism Management: In tourist-heavy areas, an image classification function can help identify the presence of water fountains in popular tourist destinations. This data can be used to create guides or mobile apps for tourists, enhancing their experience by directing them to nearby amenities while promoting local attractions.

Smart City Solutions: Integrating this image classification function into a smart city framework can support real-time data analysis for urban infrastructure. City authorities can monitor the distribution of water fountains and optimize maintenance schedules or consider installing new facilities in underserved areas based on usage patterns.

Marketing Campaigns: Businesses, especially those in the hospitality and recreation sectors, can leverage water fountain identification for targeted marketing. By analyzing locations with high foot traffic where fountains are present, companies can design promotional campaigns that attract visitors, driving customer engagement.

Environmental Monitoring: The identification of water fountains can aid in environmental studies focused on urban biodiversity and public health. By mapping locations and assessing usage, researchers can evaluate the ecological benefits of urban water sources and promote sustainable water usage practices.

Event Planning: Event organizers can use this image classification technology to scout venues based on the presence of amenities like water fountains. Knowing where these facilities are located helps in planning events that prioritize guest comfort, especially in outdoor settings, and can influence venue selection.