Identify the color of a shelf
using AI
Below is a free classifier to identify the color of a shelf. Just upload your image, and our AI will predict the color of a shelf - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-shelf", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-shelf/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/the-color-of-a-shelf/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color of a shelf.
This pretrained image model uses a Nyckel-created dataset and has 24 labels, including Beige, Black, Blue, Brown, Burgundy, Coral, Cream, Gold, Gray and Green.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of a shelf).
Whether you're just curious or building the color of a shelf detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a shelf at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail Inventory Management: Retailers can use the color of a shelf identifier to monitor product displays and ensure that products are arranged according to company branding guidelines. By classifying shelf colors, they can streamline visual merchandising strategies and optimize the shopping experience for customers.
- Warehouse Organization: In warehouse settings, this function can help categorize shelves based on color to improve storage organization. Identifying shelf colors can enhance picking efficiency by guiding staff to locate items quickly in a color-coded system.
- Customer Experience Enhancement: Restaurants and cafes can apply this technology to analyze shelf color arrangements for better ambience and branding appeal. By ensuring that shelf colors align with the desired atmosphere, businesses can create a more inviting dining experience.
- E-commerce Product Visualization: E-commerce platforms can utilize the shelf color identification function to enhance product display in virtual environments. By providing accurate color categorization, customers can better visualize how products will appear in real-world settings before making a purchase.
- Interior Design Tool: Interior designers can leverage this function to evaluate and propose color schemes for shelving units in clients' spaces. By accurately identifying shelf colors, designers can recommend complementary colors and arrangements that align with the client's aesthetic preferences.
- Content Management for Marketing: Marketing teams can use the color identification function to analyze and manage visual content for campaigns. By categorizing imagery based on shelf color, they can ensure consistent branding and effectively target specific audiences based on visual preferences.
- Product Compliance Tracking: Manufacturers can implement this function to verify compliance with safety and labeling regulations by ensuring that shelf colors meet specified standards. This automated monitoring can reduce human error and improve quality assurance processes within production lines.