Identify sage species
using AI
Below is a free classifier to identify sage species. Just upload your image, and our AI will predict the species of plant it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("sage-species", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/sage-species/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/sage-species/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the species of plant it is.
This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Salvia Amissa, Salvia Apiana, Salvia Argentea, Salvia Coccinea, Salvia Elegans, Salvia Fruticosa, Salvia Guaranitica, Salvia Lavandulaefolia, Salvia Microphylla and Salvia Nemorosa.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the species of plant it is).
Whether you're just curious or building sage species detection into your application, we hope our classifier proves helpful.
Need to identify sage species at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Conservation Monitoring: The false image classification function can be utilized by environmental agencies to monitor the distribution of sage species in various ecosystems. By analyzing images captured from drones or field surveys, the system can help identify areas where sage species are thriving or declining, enabling more effective conservation efforts.
- Agricultural Management: Farmers and agronomists can employ the classification function to distinguish sage species from non-target plants in agricultural settings. This can aid in precision agriculture by optimizing herbicide application and improving crop yields while minimizing ecological impact.
- Ecological Research: Researchers studying biodiversity can leverage the function to automate the identification of sage species in field samples or lab images. This would streamline data collection processes, allowing for more extensive studies and better insights into ecosystem health and species interactions.
- Land Use Planning: City planners and land management agencies can use the false image classification to assess land cover types in relation to sage species habitats. By understanding where sage species are located, they can make informed decisions about land development and habitat protection.
- Biodiversity Audits: Organizations conducting biodiversity audits can integrate this classification system to evaluate the presence of sage species in various regions. Accurate identification supports compliance with environmental regulations and aids in reporting to stakeholders on biodiversity status.
- Citizen Science Initiatives: Educational platforms can utilize the function to engage citizen scientists in the monitoring of sage species populations. By allowing users to submit images that the system classifies, this can enhance public involvement in conservation efforts and raise awareness about sage species.
- Wildlife Habitat Assessment: Wildlife biologists can employ the false image classification to assess the impact of sage species on habitats for various animal species. Understanding the spatial distribution of sage can inform habitat management strategies for wildlife conservation, ensuring sustainable ecosystems.