Identify if an ad contains brand name
using AI
Below is a free classifier to identify if an ad contains brand name. Just upload your image, and our AI will predict if an ad contains a brand name - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-an-ad-contains-brand-name", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-an-ad-contains-brand-name/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/if-an-ad-contains-brand-name/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if an ad contains a brand name.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Contains Brand Name and Does Not Contain Brand Name.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if an ad contains a brand name).
Whether you're just curious or building if an ad contains brand name detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if an ad contains brand name at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Compliance Monitoring: This use case involves using the image classification function to ensure that all advertisements meet brand compliance standards. By identifying whether an ad contains the specified brand name, companies can quickly assess the appropriateness of ad content before release, thereby maintaining brand integrity.
- Competitive Analysis: Marketers can utilize this function to analyze competitors' advertising strategies. By identifying the presence of brand names in competitors' ads, businesses can gain insights into market positioning, advertising trends, and customer engagement tactics.
- Performance Attribution: This image classification can help businesses determine the impact of brand presence in ads on consumer response rates. By analyzing engagement metrics for ads containing brand names versus those that do not, marketers can refine their advertising strategies for better performance.
- Automated Ad Tagging: Advertising platforms can leverage this classification function for automated tagging of ads. By automatically identifying ads that contain brand names, platforms can streamline searchability, organization, and categorization of marketing materials for enhanced user experience.
- Sentiment Analysis: This use case combines image classification with sentiment analysis to understand consumer perception. By identifying ads with brand names and pairing them with social media or survey data, companies can gauge public sentiment towards their brands and adjust their marketing strategies accordingly.
- Ad Spend Optimization: Advertisers can utilize the function to evaluate the effectiveness of their ad placements. By identifying which ads containing brand names yield the highest ROI, businesses can optimize their advertising spend and focus on the most impactful campaigns.
- Brand Safety Assurance: Brands can ensure their advertisements do not appear in contexts that could harm their reputation. By using the image classification function to monitor brand name presence, companies can preemptively avoid placing ads alongside inappropriate content or alongside rival brands.