Identify if refrigerator shelf is rusted using AI

Below is a free classifier to identify if refrigerator shelf is rusted. Just upload your image, and our AI will predict if the refrigerator shelf is rusted - in just seconds.

if refrigerator shelf is rusted identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-refrigerator-shelf-is-rusted", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-refrigerator-shelf-is-rusted/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-refrigerator-shelf-is-rusted/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the refrigerator shelf is rusted.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Rusted and Rusted.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the refrigerator shelf is rusted).

Whether you're just curious or building if refrigerator shelf is rusted detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if refrigerator shelf is rusted at scale?

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



  • Preventive Maintenance Monitoring: This function can be integrated into an IoT-enabled refrigerator system to monitor the condition of the shelves over time. By identifying rusted shelves, the system can alert maintenance personnel to take preventive measures, enhancing the longevity of the appliance.

  • Warranty Claim Assessment: Manufacturers can utilize this true image classification function to assess warranty claims related to shelf deterioration. By quickly identifying rusted shelves in submitted images, they can streamline the claim process and ensure appropriate customer support.

  • Quality Control in Manufacturing: During the production process, this function can be used to inspect refrigerator shelves for rust before they are shipped. Ensuring that no rusted shelves are included in the final product can significantly improve product quality and customer satisfaction.

  • Health and Safety Compliance: Restaurants and food storage facilities can implement this function to ensure compliance with health regulations related to safe food storage. Identifying rusted shelves can prevent potential contamination, thus promoting food safety standards.

  • Inventory Management for Replacement Parts: Retailers or service providers can use this image classification solution to manage inventory of replacement refrigerator parts. By routinely checking for rusted shelves, it allows them to proactively order parts before customer complaints arise.

  • Customer Service Enhancement: Appliance retailers can leverage this function to improve customer service. If customers report issues with their refrigerator, service teams can use the classification tool to verify rust problems remotely, leading to quicker appointments and repairs.

  • Sustainability Initiatives: This function can support sustainability efforts by ensuring that appliances are kept in good condition. By identifying and replacing rusted shelves promptly, it reduces the likelihood of having to dispose of whole refrigerators due to neglected maintenance, promoting a longer lifecycle for appliances.

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