Identify fast food brands
using AI
Below is a free classifier to identify fast food brands. Just upload your image, and our AI will predict which fast food brand an image belongs to - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("fast-food-brands", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/fast-food-brands/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/fast-food-brands/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which fast food brand an image belongs to.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Arby'S, Burger King, Carl'S Jr., Chipotle, Church'S Chicken, Culver'S, Dairy Queen, Domino'S, Five Guys and Hardee'S.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which fast food brand an image belongs to).
Whether you're just curious or building fast food brands detection into your application, we hope our classifier proves helpful.
Need to identify fast food brands at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Recognition Analytics: Fast food outlets can utilize the identifier to analyze their brand's visibility and recognition in various locations. By assessing consumer interactions with images, brands can gather insights into their market presence and adjust marketing strategies accordingly.
- Competitive Benchmarking: Companies can use the classification function to compare their brand's image presence against competitors. This can help identify strengths and weaknesses in visual marketing, enabling better strategic positioning in the fast food market.
- Social Media Monitoring: Social media analysts can leverage the function to track how often fast food brands are mentioned or depicted in user-generated content. This will allow brands to understand public perception and engagement levels, adjusting campaigns to boost positive associations.
- Targeted Advertising: The ability to identify fast food brands in images can enhance targeted advertising efforts. Advertisers can refine their audience selection by ensuring that their ads are placed adjacent to content relevant to specific fast food brands, thus increasing the likelihood of engagement.
- Market Research: Researchers can analyze datasets of images to gather insights on consumer preferences and trends associated with different fast food brands. This can highlight emerging trends and shifts in consumer tastes that brands may capitalize on to remain relevant.
- Performance Assessment of Promotions: Brands can track the effectiveness of marketing campaigns by analyzing images associated with specific promotions. By identifying which promotional images gain the most traction, brands can refine their marketing efforts and maximize ROI.
- Content Moderation: Fast food brands can ensure their image content aligns with corporate values by using the classification function for content moderation. The automated identification of brand-associated imagery allows for swift actions against inappropriate or misleading content that could damage brand reputation.