Identify bathroom fixtures using AI

Below is a free classifier to identify bathroom fixtures. Just upload your image, and our AI will predict what type of bathroom fixture it is - in just seconds.

bathroom fixtures identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("bathroom-fixtures", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/bathroom-fixtures/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/bathroom-fixtures/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what type of bathroom fixture it is.

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Budget-Friendly, Builder Grade, Commercial Grade, Contemporary, Custom, Decorative, Eco-Friendly, Essential, Functional and High-End.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of bathroom fixture it is).

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

Need to identify bathroom fixtures at scale?

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



  • Product Catalog Classification: Automate the classification of bathroom fixtures in e-commerce platforms by analyzing images. This function can help retailers accurately tag products, streamline inventory management, and enhance user experience by making it easier for customers to find specific items.

  • Augmented Reality Shopping: Integrate the classification function into augmented reality applications that allow users to visualize bathroom fixtures in their own spaces. By identifying fixtures from images, the app can provide realistic overlays and help customers make informed purchasing decisions.

  • Inventory Management: Utilize the image classification function in warehouse management systems to automatically identify and classify bathroom fixtures as they are received or shipped. This approach can improve accuracy in inventory records and reduce human error during stocktaking processes.

  • Market Trend Analysis: Leverage the analysis of classified images to identify popular bathroom fixture trends among consumers. This data can be invaluable for manufacturers and retailers aiming to adapt their product offerings based on current market demands.

  • Visual Search Enhancement: Enhance visual search capabilities in mobile applications by implementing this classification function. Users can upload images of bathroom fixtures they like, and the system can return suggestions based on classified categories to help them find similar products.

  • Quality Control in Manufacturing: Integrate the classification function within manufacturing lines to ensure that produced bathroom fixtures meet design specifications. By automatically identifying any discrepancies with the intended designs through image classification, businesses can improve product quality and reduce waste.

  • Customer Support Automation: Implement the false image classification in customer support systems to quickly identify and categorize customer inquiries related to bathroom fixtures. By automatically sorting these queries, support teams can respond more efficiently and effectively address customer needs.

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