Identify dating apps by logo
using AI
Below is a free classifier to identify dating apps by logo. Just upload your image, and our AI will predict what dating app the logo represents - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("dating-apps-by-logo", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/dating-apps-by-logo/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/dating-apps-by-logo/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what dating app the logo represents.
This pretrained image model uses a Nyckel-created dataset and has 28 labels, including Adult Friend Finder, Badoo, Bumble, Chappy, Christian Mingle, Coffee Meets Bagel, Eharmony, Elite Singles, Fdating and Flirtfinder.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what dating app the logo represents).
Whether you're just curious or building dating apps by logo detection into your application, we hope our classifier proves helpful.
Need to identify dating apps by logo at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Safety Monitoring: This use case involves monitoring social media platforms for the appearance of dating app logos in user-generated content. By identifying false associations with questionable or harmful imagery, brands can proactively manage their reputation and maintain brand integrity.
- Market Research Analysis: Companies can utilize the logo identifier to analyze the market presence of various dating applications. By classifying images from marketing campaigns or user-generated content, businesses can gain insights into popular competitors or emerging trends in the online dating industry.
- Advertising Campaign Optimization: Marketing teams can employ this function to evaluate the effectiveness of their ad placements by identifying which dating app logos appear alongside their advertisements. This data can help refine targeting strategies and improve overall ad performance.
- User Sentiment Analysis: Dating platforms can analyze user-generated content for the frequency of competitors' logos. By understanding the context in which these logos are mentioned or depicted, companies can gauge user sentiment towards their brand relative to competitors.
- Partnership Assessment: Businesses can leverage this identifier to evaluate the brand collaborations or partnerships that involve dating apps. By analyzing visual media, companies can determine the impact of these partnerships on brand visibility and user engagement.
- Fraud Detection in Marketing: This use case aims to enhance the detection of counterfeit or misleading marketing campaigns mimicking well-known dating apps. By identifying logos that are falsely utilized, platforms can take action against fraudulent promotions that may deceive users.
- Content Moderation: Dating applications can implement this function to monitor user-uploaded content for unauthorized use of their logos or the logos of competitors. This helps maintain a safe and authentic environment by quickly addressing any copyright or trademark infringements.