Identify the color of a cabinet
using AI
Below is a free classifier to identify the color of a cabinet. Just upload your image, and our AI will predict the color of a cabinet - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-cabinet", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-cabinet/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-cabinet/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color of a cabinet.
This pretrained image model uses a Nyckel-created dataset and has 25 labels, including Beige, Black, Blue, Brown, Cream, Glossy, Gold, Gray, Green and Maroon.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of a cabinet).
Whether you're just curious or building the color of a cabinet detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a cabinet at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Virtual Interior Design: Interior design software can use the cabinet color identifier to allow users to visualize different cabinet colors in their virtual spaces. By uploading images of their rooms, customers can receive color matching suggestions that complement other elements, enhancing the overall aesthetic of their home.
- E-commerce Product Recommendations: An e-commerce platform can integrate the cabinet color identifier to improve product recommendations for furniture and home decor. By analyzing users' uploaded images, the system can suggest products that match or contrast effectively with the cabinet color, increasing the likelihood of a sale.
- Home Renovation Services: Home renovation companies can utilize the identifier to streamline their color selection process for cabinetry. By having an automated system to recognize existing cabinet colors, company representatives can provide tailored design options that align with clients' preferences and existing decor.
- Augmented Reality Applications: AR applications can leverage the cabinet color identifier to create immersive shopping experiences for consumers. By allowing users to virtually place different cabinet styles and colors in their homes using real-time image analysis, customers can make informed decisions on color and style before purchasing.
- Furniture Compatibility Analysis: Retailers can use this image classification to assess how well different pieces of furniture will match or complement existing cabinetry in a customer's home. By analyzing the cabinet's color, the system can suggest compatible sofa, chair, or table options, thereby enhancing customer satisfaction.
- DIY Home Improvement Tools: Home improvement mobile applications can incorporate the cabinet color identifier to assist users in selecting paint or stain colors. By taking a photo of their existing cabinets, users can receive recommendations for the best color matches to refresh or enhance their kitchen or storage areas.
- Market Trend Analysis: Companies within the cabinetry and home design industries can utilize aggregated data from the cabinet color identifier to analyze market trends. By understanding popular cabinet colors and styles through image classification, they can better tailor their inventory and marketing strategies to meet consumer demand.