Identify is this a zinnia
using AI
Below is a free classifier to identify is this a zinnia. Just upload your image, and our AI will predict if it's a zinnia - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("is-this-a-zinnia", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/is-this-a-zinnia/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/is-this-a-zinnia/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's a zinnia.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including No This Is Not A Zinnia and Yes This Is A Zinnia.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's a zinnia).
Whether you're just curious or building is this a zinnia detection into your application, we hope our classifier proves helpful.
Need to identify is this a zinnia at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Garden Quality Assessment: A landscaping company can use the 'is this a zinnia' identifier to evaluate the quality of flowers in their gardens. By ensuring that Zinnias are correctly identified, they can maintain aesthetic standards, inform clients about the health of their gardens, and make decisions about plant care and replacement.
- Botanical Education Tool: Educational institutions can implement this image classification function in biology and botany courses. It aids students in learning about plant species identification, enhancing their understanding of biodiversity while allowing practical hands-on experiences in recognizing Zinnias in various environments.
- E-commerce Flower Sales: Online flower retailers can utilize the identifier to improve their inventory management systems. By accurately classifying Zinnias in uploaded images, the platform can streamline stock management, ensure accurate product listings, and enhance customer satisfaction through reliable service.
- Mobile Gardening Apps: Gardening enthusiasts can use apps powered by this identification function to assist them in recognizing Zinnia plants in their gardens or in the wild. This capability supports hobbyists in accessing care tips and advice specific to Zinnias, fostering an informed gardening community.
- Automated Pest Detection: Agricultural companies can leverage this image recognition technology to monitor crops for pest infestations. By identifying Zinnias, they can assess the health of these plants and deploy targeted pest control measures, minimizing chemical use and promoting sustainable agriculture.
- Scientific Research: Botanical researchers can employ the 'is this a zinnia' identifier to assist in field studies of plant distribution and biodiversity. By accurately documenting Zinnia locations through image analysis, researchers can gather essential data for conservation efforts and ecological studies.
- Social Media Integration: Social platforms focused on gardening and plant enthusiasts can integrate this identification function to enhance user engagement. Users can share photos of their flowers and receive immediate feedback on whether their Zinnias have been identified correctly, fostering interaction and community-building.