Identify flower colors using AI

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

flower colors identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("flower-colors", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/flower-colors/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/flower-colors/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what color the flower is.

This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Black, Blue, Brown, Burgundy, Cream, Cyan, Gold, Green, Indigo and Lavender.

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

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

Recommended Classifiers

Need to identify flower colors at scale?

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



  • Retail Plant Shopping Assistant: An e-commerce platform can utilize the flower colors identifier to help customers choose plants based on their color preferences. By integrating this feature, users can simply upload an image or describe the flower color they seek, and receive recommendations tailored to their preferences, enhancing their shopping experience.

  • Event Planning and Floral Arrangements: Event planners can leverage this functionality to ensure that their floral arrangements match a specific color scheme for weddings or corporate events. By identifying flower colors, planners can efficiently select complementary blooms and avoid color mismatches, making their designs visually cohesive.

  • Educational Tools for Botany: Educational platforms or institutions can implement the flower colors identifier as a teaching aid in botany courses. Students can interactively learn about plant species and their attributes, fostering a deeper understanding of botany through visual recognition and identification of flower colors.

  • Environmental Monitoring and Biodiversity Studies: Researchers studying ecosystems can use the identifier to track flower diversity and distribution in specific areas. By analyzing images collected from field studies, scientists can gain insights into the health of ecosystems and the effects of climate change on floral species.

  • Horticultural Therapy Programs: Hospitals or wellness centers can apply the flower colors identifier in therapeutic gardening programs. By identifying colors that promote relaxation or joy, facilitators can curate plant selections that enhance the therapeutic benefits of gardening for patients and participants.

  • AI-Driven Flower Recognition Apps: Developers of mobile applications can incorporate the flower colors identifier to create an AI-driven app that assists users in identifying flowers from pictures taken in nature. This tool can promote interest in gardening and botany by making flower identification simple and engaging for hobbyists and nature enthusiasts.

  • Personalized Gifting Solutions: Companies in the gift industry can utilize the flower colors identifier to offer tailored bouquet recommendations based on the recipient’s favorite colors. By analyzing user input on color preferences, they can provide highly personalized gifting options, enhancing customer satisfaction and sales potential.

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