Identify color of packaging using AI

Below is a free classifier to identify color of packaging. Just upload your image, and our AI will predict the color of the packaging design - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("color-of-packaging", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/color-of-packaging/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/color-of-packaging/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict the color of the packaging design.

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Beige, Black, Blue, Brown, Cyan, Gold, Gray, Green, Lime and Magenta.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of the packaging design).

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

Need to identify color of packaging at scale?

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

Brand Consistency Monitoring: This function can be utilized by brands to ensure that their packaging color remains consistent across different production batches. By identifying any deviations from the established color standards, companies can maintain their brand identity and customer recognition.

Quality Control in Manufacturing: Manufacturers can employ this function as part of their quality assurance processes to detect any coloring issues during production. Early identification of incorrect packaging colors can minimize waste, reduce rework costs, and ensure compliance with product standards.

Market Trend Analysis: Retailers can analyze color trends in packaging to determine consumer preferences. This function helps them assess the effectiveness of their current packaging designs and make data-driven decisions about future product launches based on popular color schemes.

Compliance with Regulations: Certain industries, like food and pharmaceuticals, have strict regulations regarding packaging. This function can verify that packaging colors adhere to the relevant guidelines, helping companies avoid fines and ensuring consumer safety.

Consumer Feedback Integration: Businesses can integrate the color identification function with customer feedback tools to analyze how packaging color influences purchasing decisions. This data can help refine marketing strategies and enhance customer engagement by aligning packaging choices with consumer preferences.

Sustainability Reporting: Companies can track the use of eco-friendly packaging with regard to color choices. By identifying non-compliant colorants, businesses can move towards more sustainable practices and improve their environmental footprint in packaging.

Competitive Analysis: Brands can use this function to monitor competitors' packaging colors, assessing their market position and aesthetic choices. Understanding competitive packaging strategies allows companies to differentiate themselves and innovate in their product presentations.