API Access


import nyckel

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


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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Carr's, Cheez-It, Club, Goldfish, Graham Crackers, Handmade Crackers, Pita Chips, Pringles, Rice Crackers and Ritz.

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

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

Need to identify cracker brands at scale?

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

Brand Loyalty Analysis: This use case involves analyzing consumer feedback and sentiment regarding various cracker brands. By identifying images associated with specific brands, companies can better understand their market position and customer loyalty, allowing for targeted marketing strategies.

Competitive Analysis: Companies can use this function to monitor the market presence of competitor cracker brands through social media and online platforms. By classifying images of competitors' products, businesses can assess trends and identify gaps in their own product offerings.

Product Placement Optimization: Retailers can leverage the image classification function to assess how different cracker brands are displayed in-store. By analyzing the visibility and representation of these products, they can optimize shelf placement and promotional strategies to boost sales.

Quality Control in Manufacturing: Manufacturers can utilize the identifier to ensure consistency in packaging during the production of cracker brands. By classifying images of packaging, companies can detect any deviations or errors in design, helping to maintain brand integrity.

E-commerce Compliance: Online retailers can apply this function to verify that product listings match the corresponding cracker brands. By identifying and classifying images, the platform can prevent misleading representations and ensure compliance with brand guidelines.

Influencer Marketing Campaigns: Brands can analyze user-generated content featuring their crackers through image classification. By identifying images that represent the brand effectively, they can select suitable influencers for partnerships based on their ability to promote their products authentically.

Trend Identification in Snacking: The classification function can be used to discover emerging trends related to cracker preferences in social media imagery. By analyzing these trends, businesses can innovate and create new products that align with changing consumer tastes.

Identify cracker brands using AI

API Access

How this classifier works

Need to identify cracker brands at scale?