Identify radio stations by logo
using AI
Below is a free classifier to identify radio stations by logo. Just upload your image, and our AI will predict what radio station it represents - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("radio-stations-by-logo", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/radio-stations-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/radio-stations-by-logo/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what radio station it represents.
This pretrained image model uses a Nyckel-created dataset and has 27 labels, including Abc Radio, Bbc Radio, Classic Rock Radio, Clear Channel, College Radio, Communitiy Radio, Country Radio, Cumulus Media, Deadliest Catch Radio and Demand Air Radio.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what radio station it represents).
Whether you're just curious or building radio stations by logo detection into your application, we hope our classifier proves helpful.
Need to identify radio stations by logo at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Monitoring: This function can be used by radio station owners to monitor the usage of their logos across various platforms. It helps identify unauthorized use or misrepresentation, ensuring brand integrity and protecting intellectual property.
- Advertising Analysis: Advertisers can leverage this image classification to assess the visibility of their campaigns featuring radio station logos. By analyzing how often logos appear in various contexts, they can gauge the effectiveness of their advertising strategies and make data-driven decisions.
- Competitor Research: Media companies can utilize this function to compare their brand presence against competitors by analyzing logo visibility. Understanding how often competitor logos are featured can inform market positioning and competitive strategies.
- Logo Compliance Verification: Regulatory bodies can use this solution to ensure that radio stations comply with branding regulations during public broadcasts. By classifying logos in images, they can efficiently verify correct logo usage in promotional materials.
- Data Enrichment for AI Models: Third-party data analytics platforms can integrate this image classifier to enhance their datasets. By enriching their databases with accurately classified radio station logos, they can improve the performance of machine learning models that rely on visual branding data.
- User Engagement Insights: App developers can use this function to enhance user engagement by providing tailored content based on identified radio station logos in user-generated images. This can lead to personalized recommendations or promotional content that resonates with users' preferences.
- Sponsorship Valuation: Event organizers or sponsoring companies can utilize this function to track logo appearances during live events. By quantifying the number of impressions generated by radiostation logos, they can assess the value of sponsorship deals with precision, aiding in better negotiation and strategy formulation.