Identify if an ad contains smiling person
using AI
Below is a free classifier to identify if an ad contains smiling person. Just upload your image, and our AI will predict if it contains a smiling person - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-an-ad-contains-smiling-person", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-an-ad-contains-smiling-person/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-smiling-person/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it contains a smiling person.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Contains Smiling Person and Does Not Contain Smiling Person.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it contains a smiling person).
Whether you're just curious or building if an ad contains smiling person detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if an ad contains smiling person at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Targeted Advertising: Advertisers can leverage the smiling person identifier to optimize their ad campaigns. By analyzing which ads contain smiling individuals, companies can target different demographics based on engagement levels, ultimately increasing the effectiveness of their advertisements.
- Emotion-based Content Curation: Social media platforms can use this function to curate content that features positive emotions, such as smiling faces. This can enhance user experience by promoting uplifting and engaging posts, leading to higher retention rates.
- Consumer Behavior Analysis: Retailers can analyze the presence of smiling individuals in promotional materials to gauge consumer sentiment. By understanding which ads resonate positively with customers, marketers can refine their strategies to align better with consumer preferences.
- Brand Image Assessment: Companies can monitor their public-facing ads to ensure they align with their desired brand image. By confirming the presence of smiling people, businesses can bolster a friendly and approachable image in the minds of potential customers.
- A/B Testing of Ad Content: Marketing teams can implement A/B testing to compare ads featuring smiling individuals against those that don't. The results from these tests can provide insights into consumer response and preference, guiding future ad design and content strategies.
- Social Impact Campaigns: Nonprofits and social impact organizations can use the smiling person identifier to enhance their campaigns. By showcasing ads with smiling people, they can convey positivity and optimism, attracting more supporters and donations.
- Content Quality Monitoring: Media agencies can employ this identifier to automate the quality control of video and image content. Ensuring that a high percentage of content features smiling individuals can enhance viewer engagement and satisfaction, contributing to better overall media performance.