API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("is-this-dill", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/is-this-dill/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-dill/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if it's dill.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Is Dill and Is Not Dill.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's dill).

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

Need to identify is this dill at scale?

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

Culinary Ingredient Verification: The 'is this dill' identifier can be integrated into cooking apps to help users confirm whether they are using dill in recipes. This can prevent culinary mishaps by ensuring that the correct herb is being utilized, enhancing the overall quality of dishes prepared at home or in restaurants.

Agricultural Quality Control: Farmers and agricultural companies can use this image classification function to monitor and verify the crops they are growing. By ensuring that dill is correctly identified, they can better manage crop quality and provide customers with accurate product information.

Food Packaging Inspection: Food manufacturers can implement the 'is this dill' identifier during the packaging process to check for accurate labeling. This system helps maintain compliance with nutritional guidelines and improves transparency for consumers who might have allergies or dietary restrictions.

E-commerce Product Validation: Online grocery and herb suppliers can utilize this tool to ensure product accuracy in their listings. By confirming that dill is correctly identified in images, businesses enhance customer trust and reduce the likelihood of returns due to incorrect orders.

Herbal Medicine Authentication: In the herbal medicine industry, the identifier can assist suppliers in verifying the authenticity of their products. This would help ensure that medical herbs labeled as dill meet quality standards, thereby improving consumer safety and confidence in herbal remedies.

Educational Tools for Botany: Educational institutions can use this classification function to develop interactive learning tools for botany students. By allowing students to identify dill accurately in various contexts, they gain practical experience in plant identification and deepening their understanding of herbology.

Inventory Management for Restaurants: Restaurants can implement this identifier to streamline their inventory management systems. By quickly verifying the presence of dill in stock via image classification, kitchen staff can optimize their ingredient usage and make informed purchasing decisions.

Identify is this dill using AI

API Access

How this classifier works

Need to identify is this dill at scale?