API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("snack-brands-by-logo", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/snack-brands-by-logo/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/snack-brands-by-logo/invoke

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 47 labels, including Biscoff, Butterfinger, Campbell'S, Cereal Bars, Cheez-It, Cocoa Krispies, Conagra, Cookie Dough, Crackers and Doritos.

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

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

Need to identify snack brands by logo at scale?

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

Brand Recognition Analytics: This use case focuses on enabling snack brand companies to analyze the effectiveness of their logo visibility in various media. By utilizing the logo identifier function, brands can assess where their logos are frequently misidentified or confused with competitors, helping them to refine their branding strategies.

Social Media Monitoring: Social media platforms can implement the logo identification function to monitor snack brand mentions and engagement. This allows brands to understand user sentiments, respond to trends, and manage their online reputation based on visual mentions of their logos across different posts and images.

Marketing Campaign Effectiveness: Marketing teams can leverage the logo identifier to track the performance of advertising campaigns by measuring how often their logo appears in user-generated content. By analyzing these appearances, businesses can gauge the reach and impact of their campaigns and make data-driven adjustments.

Counterfeit Detection: Snack brands can use the logo classification function to combat counterfeit products in the market. By monitoring online marketplaces and social media for unauthorized use of their logos, brands can take proactive measures to protect their intellectual property and maintain brand integrity.

User-Generated Content Curation: Retailers and snack brands can utilize the function to curate user-generated content featuring their logos. By identifying and showcasing authentic consumer images that include their logos, they can enhance user engagement and foster a community around their brand.

Competitive Analysis: Companies can apply the logo identifier to perform competitive analysis by tracking the logo presence of rival snack brands across various platforms. This insight helps businesses understand market positioning, visual strategies, and consumer recognition of competitor logos, informing their own marketing tactics.

Enhanced Customer Experience: Retailers can integrate the logo identification function into loyalty apps or websites to improve customer experience. By recognizing logos on products, customers can receive personalized recommendations, promotions, or loyalty points related to their favorite snack brands, fostering brand loyalty and enhancing consumer satisfaction.

Identify snack brands by logo using AI

API Access

How this classifier works

Need to identify snack brands by logo at scale?