Identify scented flowers using AI

Below is a free classifier to identify scented flowers. Just upload your image, and our AI will predict if the flowers are scented - in just seconds.

scented flowers identifier

Contact us for API access

Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.

Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("scented-flowers", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/scented-flowers/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/scented-flowers/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the flowers are scented.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Scented and Unscented.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the flowers are scented).

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

Recommended Classifiers

Need to identify scented flowers at scale?

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



  • Floral Retail Optimization: Retailers can utilize the scented flowers identifier to enhance their product offerings. By accurately identifying and categorizing scented flowers, shops can tailor marketing strategies and optimize inventory based on customer preferences for fragrant varieties.

  • Personalized Bouquet Creation: Online floral delivery services can implement this function to assist customers in creating personalized bouquets that align with their scent preferences. By identifying various scented flowers, the service can suggest combinations that provide a desired olfactory experience.

  • Eco-friendly Gardening Apps: Gardening apps can use the scented flowers identifier to help users select plants that attract pollinators or deter pests. This data can promote biodiversity and sustainable gardening practices by guiding users towards fragrant, beneficial plants.

  • Home Fragrance Solutions: Home improvement retailers can leverage the scented flowers identifier to recommend plants that naturally scent indoor spaces. This functionality can educate customers on the advantages of specific flowers in improving home ambience and air quality.

  • Perfume Ingredient Sourcing: Companies in the fragrance industry can use the identifier to source natural ingredients. By identifying flowers that are known for their distinct scents, businesses can create high-quality perfumes while promoting the use of botanical materials.

  • Educational Platforms for Botany: Educational institutions can incorporate the scented flowers identifier into learning platforms to teach students about botany and fragrance. This tool can enhance curriculum elements while making learning interactive and engaging through scent recognition.

  • Tourism and Botanical Gardens: Botanical gardens and tourism boards can utilize the scented flowers identifier in visitor apps to enhance visitor experiences. By highlighting fragrant flowers during tours, they can create immersive experiences that attract more visitors and encourage longer stays.

Start building custom ML models today

Rapidly develop and deploy custom ML models that are accurate, secure, and easy to integrate. No Phd required.

Get custom demo