API Access


import nyckel

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


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

How this classifier works

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

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Beech-Nut, Earth's Best, Finger Foods, Fruit Purees, Gerber, Happy Baby, Little Spoon, Nestle, Non-Organic Baby Food and Oatmeal Cereal.

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

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

Need to identify baby food brands at scale?

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

Brand Monitoring: This function can be used by baby food brands to monitor the social media landscape for mentions of their products or competitors. By identifying images associated with specific brands, companies can gauge consumer sentiment and engagement through visual content.

Quality Control: Manufacturers can deploy this image classification function to verify that the correct labeling and packaging are being utilized throughout production. By scanning images of packaged goods, the system can identify potential errors or inconsistencies before they reach the consumer.

Competitive Analysis: Brand managers can use the classification of images to analyze how their products are visually represented versus competitors’. This can guide marketing strategies by helping brands understand which visual elements are most effective in consumer appeal.

Influencer Partnerships: Marketing teams can leverage this function to identify social media influencers who frequently share content related to baby food brands. By analyzing the images posted, brands can find potential partners who resonate with their target audience for future collaborations.

Market Trend Analysis: This functionality can help researchers and analysts track changes in consumer preferences and trends over time. By analyzing a database of images depicting various baby food brands, insights can be generated about emerging trends in flavors, packaging, and health-conscious options.

Targeted Advertising: Advertisers can utilize this image classification tool to create targeted campaigns based on the visual content associated with specific baby food brands. By identifying the visuals that attract the most engagement, marketers can tailor their ads to align with consumer interests.

Compliance Verification: Regulatory teams can apply this function to ensure that all marketing images comply with legal and safety standards. By classifying images related to baby food brands, organizations can verify compliance with nutrient labeling, allergen warnings, and other essential risks.

Identify baby food brands using AI

API Access

How this classifier works

Need to identify baby food brands at scale?