Identify if online advertising appropriate
using AI
Below is a free classifier to identify if online advertising appropriate. Just upload your image, and our AI will predict if online advertising is appropriate - 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("if-online-advertising-appropriate-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-online-advertising-appropriate-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/if-online-advertising-appropriate-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if online advertising is appropriate.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Ad Appropriate and Inappropriate.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if online advertising is appropriate).
Whether you're just curious or building if online advertising appropriate detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if online advertising appropriate at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Ad Content Moderation: Utilize the image classification function to automatically assess the appropriateness of visual content in online advertisements before they go live. This system can flag images that may violate community standards or brand guidelines, ensuring that only suitable content is presented to users.
- Targeted Marketing Optimization: Implement the image classification tool to categorize images based on their visual elements and themes. By analyzing the appropriateness of ads for specific audiences, marketers can tailor campaigns more effectively, increasing engagement and conversion rates.
- Brand Safety Assurance: Leverage the image classification function to ensure that ads do not appear alongside inappropriate or controversial content. This helps maintain brand integrity and trust, safeguarding against negative publicity associated with undesirable ad placements.
- A/B Testing Enhancement: Use the classification model to analyze which types of images perform best in A/B tests. By understanding which visuals are deemed appropriate by the model, advertisers can refine their approaches and focus on higher-performing assets.
- Compliance Monitoring: Deploy the image identification system to regularly monitor online advertisements for compliance with regulatory guidelines and advertising standards. This can mitigate the risk of fines or penalties by ensuring that ad content adheres to legal frameworks.
- User-generated Content Filtering: Integrate the image classification function to evaluate user-generated content submitted for advertising campaigns. By determining whether this content is appropriate, businesses can curate a more favorable image for their brand while engaging with their audience.
- Performance Analytics: Utilize the classifier to analyze historical advertisement performance data in relation to image appropriateness. This data can drive insights for future campaigns by helping marketers understand the impact of visual content on overall ad effectiveness.