API Access


import nyckel

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


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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Blue Buffalo, California Natural, Canidae, Earthborn Holistic, Fancy Feast, Friskies, Hill's Science Diet, Iams, Instinct and Meow Mix.

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

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

Need to identify cat food brands at scale?

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

Brand Discovery: This function can assist pet retailers in identifying various cat food brands in their inventory. By accurately classifying images, retailers can improve their product listings and ensure they are displaying the correct information to customers.

Quality Control: Manufacturers can use this false image classification to monitor the accuracy of their branding on packaging. By analyzing images from production lines, they can ensure that only the correct cat food brands are being packaged and labeled, reducing the likelihood of customer confusion.

Competitive Analysis: Market analysts can utilize this function to track competitor branding across various platforms. By classifying images of cat food brands in social media and e-commerce, businesses can gain insights into competitors’ marketing strategies and brand presence.

Customer Insights: Pet food companies can leverage this classification function to analyze customer-uploaded images on social platforms. By understanding which brands customers choose to share, companies can gain valuable insights into consumer preferences and brand association.

Inventory Management: Automated inventory systems can incorporate image classification for real-time stock management. By identifying cat food brands through visual inputs, stores can track product levels and reorder supplies more efficiently, ensuring they meet customer demand.

Advertising Targeting: Advertising agencies can use this function to tailor campaigns based on identified brands in user-generated content. Knowing which cat food brands are popular among pet owners, agencies can create targeted promotions and advertisements that resonate with specific customer segments.

Product Recommendation Systems: E-commerce platforms can integrate the classification function to enhance their product recommendation algorithms. By understanding the brand identity of cat food images that users engage with, platforms can personalize suggestions, increasing the likelihood of conversion.

Identify cat food brands using AI

API Access

How this classifier works

Need to identify cat food brands at scale?