API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("laptop-brands", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/laptop-brands/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/laptop-brands/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict what laptop brand it is.

This pretrained image model uses a Nyckel-created dataset and has 18 labels, including Acer, Alienware, Apple, Asus, Dell, Google, Hp, Huawei, Lenovo and Lg.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what laptop brand it is).

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

Need to identify laptop brands at scale?

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

Retail Inventory Management: Retailers can utilize the false image classification function to identify incorrect laptop brands in their inventory. This ensures that the displayed items match the actual brands in stock, reducing customer confusion and improving sales accuracy.

E-commerce Quality Control: E-commerce platforms can implement this function to verify product images uploaded by sellers. By identifying misclassified laptops, platforms can maintain a consistent product catalog, enhancing customer trust and satisfaction.

Brand Protection: Laptop manufacturers can use the function to monitor online listings for counterfeit products. By automatically flagging incorrect classifications, brands can take action against unauthorized sellers and protect their intellectual property.

Social Media Monitoring: Marketing teams can employ the false image classification function to analyze brand mentions and visuals on social media platforms. This helps identify unauthorized use of brand images, allowing companies to engage users or address misclassifications effectively.

Customer Support Enhancement: Customer support teams can leverage the classification function to assist consumers in identifying their laptop models. By accurately categorizing images sent by customers, support agents can provide tailored assistance based on specific model features.

Market Research Insights: Researchers can use the function to analyze trends in laptop ownership and preferences based on social media images. By classifying images effectively, companies can gather insights on consumer behavior and tailor their marketing strategies accordingly.

Fraud Detection: Financial institutions can use this classification tool to verify the authenticity of laptop images in loan applications. By cross-checking the brand identification, lenders can minimize risks associated with fraudulent applications involving purchased laptops.

Identify laptop brands using AI

API Access

How this classifier works

Need to identify laptop brands at scale?