Identify garden features using AI

Below is a free classifier to identify garden features. Just upload your image, and our AI will predict what features of the garden are present - in just seconds.

garden features identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("garden-features", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/garden-features/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/garden-features/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict what features of the garden are present.

This pretrained image model uses a Nyckel-created dataset and has 31 labels, including Annuals, Basic, Bird Feeder, Butterfly Garden, Compost Area, Elaborate, Fence, Flower Garden, Garden Furniture and Garden Lighting.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what features of the garden are present).

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

Need to identify garden features at scale?

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



  • Landscape Design Consultation: This function can assist landscape designers by identifying and categorizing various garden features in client-provided images. This helps in generating personalized design recommendations based on the existing elements in a garden space.

  • Urban Planning and Development: City planners can utilize this tool to analyze public spaces and community gardens. Accurately identifying green features can aid in decision-making for urban development projects and enhancing green infrastructure.

  • Gardening App Enhancement: Gardening applications can integrate this classification function to help users identify garden features from their photos. This will provide users with tailored care tips and plant suggestions based on the specific elements in their gardens.

  • Environmental Analysis: Researchers studying biodiversity and ecology can use this function to classify garden features in various ecosystems. The insights gained can help assess the impact of urban gardens on local wildlife and plant diversity.

  • Retail and E-commerce: Garden supply stores can employ this technology to improve customer experience on their websites. By allowing customers to upload photos of their gardens, the system can recommend appropriate products like plants, tools, or accessories based on identified features.

  • Educational Purposes: Educational institutions can use this function as a teaching tool for horticulture or environmental science courses. Students can analyze and classify different garden features, enhancing their practical understanding of plant biology and landscape architecture.

  • Social Media Gardening Communities: Social media platforms focused on gardening can implement this function to engage users. By allowing users to tag their posts with identified garden features, it can foster community interaction and provide gardening tips based on the shared images.

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