Identify the color of a rug
using AI
Below is a free classifier to identify the color of a rug. Just upload your image, and our AI will predict the color of a rug it is - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-rug", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-rug/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-rug/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color of a rug it is.
This pretrained image model uses a Nyckel-created dataset and has 48 labels, including Amber, Apricot, Azure, Beige, Black, Blue, Bronze, Brown, Burgundy and Charcoal.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of a rug it is).
Whether you're just curious or building the color of a rug detection into your application, we hope our classifier proves helpful.
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Need to identify the color of a rug at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- E-commerce Product Filtering: Online retailers can integrate the color identifier to enhance their product filtering options. Customers searching for rugs can easily narrow down their choices by selecting specific colors, improving user experience and increasing sales conversions.
- Inventory Management: Home decor retailers can use the color identification function to automate their inventory categorization. By tagging rugs with the correct color upon arrival, retailers can maintain an organized inventory, making it easier for staff to locate items and manage stock levels.
- Personalized Marketing Campaigns: Marketing teams can leverage the function to create targeted email campaigns based on users' color preferences. By analyzing customer behavior and preferences, businesses can send personalized promotions for rugs that match customer-selected colors.
- Augmented Reality Applications: Interior design apps can utilize the color identifier to offer users a virtual try-on experience. By allowing users to visualize how specific rug colors would look in their spaces, customers are more likely to make informed purchasing decisions.
- Trend Analysis and Reports: Businesses can analyze rug color data to identify emerging trends in home decor. By understanding popular colors, companies can adjust their product lines accordingly, ensuring they remain competitive and relevant in the market.
- Customer Support Optimization: By integrating the color classification system into customer support queries, businesses can streamline responses related to rug color issues. This direct approach can enhance customer satisfaction by providing quick and accurate assistance regarding product specifications.
- Supply Chain Optimization: Manufacturers can use color identification to synchronize their production processes with market demand. By understanding which rug colors are in higher demand, they can optimize material sourcing, reduce waste, and improve overall operational efficiency.