Identify candy bars by logo
using AI
Below is a free classifier to identify candy bars by logo. Just upload your image, and our AI will predict which candy bar logo is present - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("candy-bars-by-logo", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/candy-bars-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/candy-bars-by-logo/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which candy bar logo is present.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Almond Joy, 100 Grand, Baby Ruth, Butterfinger, Chocolate Almond Bar, Cookies And Cream, Crunch, Dulce De Leche, Ferrero Rocher and Hersheys.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which candy bar logo is present).
Whether you're just curious or building candy bars by logo detection into your application, we hope our classifier proves helpful.
Need to identify candy bars by logo at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Recognition Analytics: This function can be utilized by marketing teams to analyze brand recognition across various platforms. By identifying candy bars based on their logos in social media images, companies can gauge consumer awareness and engagement with their brands.
- Inventory Management Optimization: Retailers can employ this technology to monitor product placement and stock levels. By analyzing images from store shelves, they can identify which candy bars are being featured and ensure adequate supply based on consumer demand.
- Competitor Analysis: Businesses can leverage this function to conduct competitive intelligence by tracking the visibility of competitor candy bars in various locations. This data can provide insights into market trends, pricing strategies, and promotional effectiveness in the confectionery sector.
- Advertising Campaign Effectiveness: Advertising agencies can use logo identification to measure the impact of their campaigns. By analyzing how often their candy bar logos appear in user-generated content, they can evaluate the success and reach of their marketing efforts.
- Consumer Behavior Research: Researchers can utilize this function to study consumer preferences and demographics. By analyzing the images people share featuring candy bars, they can identify trends and factors influencing purchasing decisions among different consumer groups.
- Quality Control in Manufacturing: Manufacturers can implement this technology in their quality control processes. By ensuring that only products with correct logos are permitted to pass inspection, they can maintain brand consistency and reduce the risk of counterfeit products.
- Mobile Applications for Food Recognition: Developers can integrate this function into mobile apps that help consumers identify candy bars by their logos. These apps can provide information about ingredients, nutritional value, and where to purchase the products, enhancing the consumer experience.