Identify snowfall using AI

Below is a free classifier to identify snowfall. Just upload your image, and our AI will predict if it's snowy or not - in just seconds.

snowfall identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("snow-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/snow-identifier/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/snow-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if it's snowy or not.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Has Snow vs No Snow.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's snowy or not).

Whether you're just curious or building snowfall detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify snowfall at scale?

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



  • Road Maintenance Services: Identify road sections with snowfall to enable timely snow removal and de-icing.

  • Ski Resort Operations: Assess when it's snowing on different slopes to manage ski routes and safety measures.

  • Urban Planning: Monitor what areas tend to see snowfall the most often.

  • Agricultural Sector: Evaluate snowfall in agricultural fields to help plan for crop protection and irrigation needs.

  • Retail Businesses: Forecast snow-related demand to assist in stock management and ads for winter clothing.

  • Transportation and Logistics: Predict snowfall on routes to support better planning for shipping and delivery services.

  • Emergency Response Units: Aid in identifying areas with snowfall to allow for quicker response during emergencies.

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