Identify banner ads
using AI
Below is a free classifier to identify banner ads. Just upload your image, and our AI will predict if it's an ad - 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("banner-ad-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/banner-ad-identifier/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/banner-ad-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's an ad.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Yes vs No.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's an ad).
Whether you're just curious or building banner ads detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify banner ads at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Digital Marketing Agencies: Categorize the effectiveness of various banner ads in online campaigns.
- Website Publishers: Automatically identify and sort banner ads for better ad management and layout.
- Ad Networks: Streamline ad moderation by quickly identifying different banner ads for content relevance.
- E-commerce: Improve user experience by displaying relevant banner ads based on the identified preferences.
- Market Research: Analyze trends in banner ad designs and messaging across different industries.
- Consumer Rights Orgs: Monitor misleading or inappropriate advertising by identifying banner ads.
- Educational Institutions: Use it in teaching digital marketing courses to demonstrate real-world ad variations.