API Access


import nyckel

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


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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Act Ii, Angie's Boomchickapop, Butterfly, Caramel Corn, Cheddar Cheese, Hulled Corn, Jolly Time, Kernel Season's, Kettle Corn and Marie Callender's.

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

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

Need to identify popcorn brands at scale?

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

Brand Recognition for Market Analysis: This function can be employed by market research firms to analyze brand visibility and market saturation by identifying the various popcorn brands in promotional materials or consumer environments. By classifying images, firms can gather insights on consumer preferences and competitive positioning.

Online Advertising Optimization: Digital marketing platforms can integrate this image classification function to ensure that advertisements featuring popcorn brands are appropriately categorized. This would enable more targeted advertising campaigns, ensuring that ads reach the right audience based on the identified brand relevance.

Quality Control in Manufacturing: Popcorn manufacturers can utilize this function in quality control processes to identify brand packaging defects or inconsistencies in product presentation on the production line. By inspecting and classifying images of packaged products, manufacturers can maintain brand integrity and quality standards.

Inventory Management for Retail: Retailers can implement this function to streamline inventory management for popcorn products. By classifying images of popcorn brands on their shelves, retailers can quickly assess stock levels, identify popular brands, and adjust orders accordingly to maximize sales.

Social Media Monitoring: Social media analytics companies can apply this image classifier to monitor the presence and consumer engagement of different popcorn brands across platforms. By identifying brand appearances in user-generated content, companies may analyze sentiment and brand perception in the marketplace.

Augmented Reality Applications: Developers of augmented reality (AR) experiences can harness this image classifier to enhance user interactions when scanning popcorn packaging. This could provide consumers with instant brand-related information, promotions, or recipes, elevating both customer engagement and brand loyalty.

Food Delivery Platform Enhancements: Food delivery services can integrate this function to enhance their platform’s image recognition capabilities. By accurately classifying images of popcorn brands in promotional listings, the platform can help users quickly find their favorite brands and recommend similar products, improving their overall shopping experience.

Identify popcorn brands using AI

API Access

How this classifier works

Need to identify popcorn brands at scale?