API Access


import nyckel

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


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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Adzuki Beans, Anasazi Beans, Black Beans, Borlotti Beans, Cannellini Beans, Cranberry Beans, Fava Beans, Flageolet Beans, Garbanzo Beans and Green Beans.

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

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

Need to identify bean brands at scale?

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

Brand Verification: This function can be used by retailers and e-commerce platforms to verify the authenticity of bean products. By analyzing images of the products, it can help distinguish between genuine and counterfeit brands, ensuring customers receive quality products.

Inventory Management: Bean producers and distributors can leverage this technology to manage their inventory effectively. By classifying images of bean products, it allows for real-time tracking of stock levels and identifying any discrepancies in brand representation.

Quality Control: Manufacturers in the bean industry can implement this classification function for quality assurance. By using the image classification system during production, deviations from the expected branding can be flagged, helping to maintain a consistent product line.

Marketing Analysis: Brands can utilize the function to analyze market presence. By examining images of competitors’ products in stores or online, they can gather insights into branding strategies and adapt their marketing efforts accordingly.

Consumer Education: This function can be integrated into consumer-facing applications to educate buyers on different bean brands. Users can take pictures of bean products and receive information about their quality, origin, and brand reputation to make informed purchasing decisions.

Compliance and Regulation: Regulatory bodies can use the image classification system to ensure compliance with labeling and branding regulations in the bean industry. By analyzing images, they can verify that products meet legal requirements and are correctly represented in the marketplace.

Sustainability Tracking: Companies can utilize this function to monitor and promote sustainable practices within the bean industry. By classifying brands based on their sourcing and production practices, stakeholders can better support eco-friendly brands and inform customers about their impact on the environment.

Identify bean brands using AI

API Access

How this classifier works

Need to identify bean brands at scale?