Identify closet space type using AI

Below is a free classifier to identify closet space type. Just upload your image, and our AI will predict what type of closet space you have - in just seconds.

closet space type identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("closet-space-type", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/closet-space-type/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/closet-space-type/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what type of closet space you have.

This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Built-In, Capsule, Corner, Custom, Dresser, Hanging Space, Linen, Minimal, Open and Reach-In.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of closet space you have).

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

Need to identify closet space type at scale?

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



  • Closet Optimizer: This application identifies the types of closet spaces based on the organization and style of items stored. Homeowners can receive tailored recommendations for storage solutions, maximizing the utility of their closet space while enhancing aesthetic appeal.

  • Retail Inventory Management: Retailers can utilize the false image classification function to categorize and manage their inventory based on closet space types. This allows for more accurate forecasting and inventory control, improving stock placement and sales strategy development.

  • Smart Closet Systems: Smart home systems can integrate this functionality to automatically adjust lighting or temperature based on the identified closet space type. This creates a personalized environment suitable for various types of clothing and accessories, improving user experience.

  • Fashion E-commerce: Online clothing retailers can employ this classifier to optimize product presentation by grouping items based on closet space type. This enhances the shopping experience, encouraging customers to buy complementary items suited for their closet organization.

  • Real Estate Staging: Real estate agents can use this functionality to assess closet space types in homes. By offering improvement suggestions based on the classifications, agents can better stage homes to attract buyers, highlighting optimal usage of closet space.

  • Virtual Interior Design: Interior designers can leverage this classifier in augmented reality applications to visualize how different closet types would look in a given space. This helps clients make informed decisions about layout and organization, increasing client satisfaction.

  • Organizational Apps: Personal organization applications can incorporate this function to help users categorize their closet spaces effectively. The app can provide users with style recommendations and organizational tips based on their specific closet type, aiding in decluttering and enhancing overall usability.

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