Identify seed brands
using AI
Below is a free classifier to identify seed brands. Just upload your image, and our AI will predict what seed brand it is - in just seconds.
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("seed-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/seed-brands/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/seed-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what seed brand it is.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Agreliant, Bayer, Bejo, Burpee, Cargill, Corteva, Dupont, Fedco Seeds, First Seed and Global Seed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what seed brand it is).
Whether you're just curious or building seed brands detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify seed brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Authenticity Verification: This function can be employed by retailers to ensure the authenticity of products being sold under their brand. By classifying images and identifying false representations of their trademarks, brands can take action against counterfeit goods and protect their intellectual property.
- Social Media Monitoring: Brands can utilize this function to monitor social media platforms for unauthorized uses of their logos and images. By identifying false images that misrepresent the brand, companies can engage in brand protection activities and maintain their reputation.
- E-commerce Quality Control: E-commerce platforms can integrate this image classification function to filter out false images of products. This will enhance the online shopping experience by ensuring that the images displayed are genuine and accurately represent the products being sold.
- Digital Marketing Compliance: Marketers can use this function to ensure that all promotional materials adhere to brand guidelines. By identifying unauthorized alterations or fake images that misrepresent the brand, businesses can maintain a consistent and trustworthy brand image across all channels.
- Influencer Partnership Validation: Brands collaborating with influencers can leverage this function to verify the authenticity of the visual content shared by their partners. By detecting false images or fake endorsements, brands can protect their reputation and enhance the credibility of their marketing efforts.
- Trademark Infringement Detection: Legal teams can utilize this function to identify and document instances of trademark infringement that may arise from false images. By classifying images accurately, brands can build stronger cases against violators and protect their legal rights.
- Customer Feedback Analysis: Businesses can employ this function in analyzing user-generated content. By identifying false images that misrepresent the product or brand, businesses can gain insights into customer sentiment and address concerns regarding false advertising or misleading information.