Identify the color of a pillow
using AI
Below is a free classifier to identify the color of a pillow. Just upload your image, and our AI will predict what color the pillow is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-pillow", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-pillow/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-pillow/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what color the pillow is.
This pretrained image model uses a Nyckel-created dataset and has 31 labels, including Beige, Black, Blue, Brown, Burgundy, Charcoal, Copper, Coral, Cream and Cyan.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what color the pillow is).
Whether you're just curious or building the color of a pillow detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a pillow at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Home Decor E-commerce Optimization: This function can help online retailers automatically categorize pillows based on their color, enhancing the user shopping experience. By providing accurate color classification, it allows customers to easily filter searches, improving customer satisfaction and potentially increasing sales.
- Inventory Management System: Retailers can use this function to streamline inventory by classifying pillows by color upon arrival. This ensures items are stored and displayed correctly, reducing the chances of mislabeling and improving stock accuracy.
- Personalized Marketing Campaigns: By identifying pillow colors, marketers can create targeted campaigns that appeal to specific customer preferences. This enables personalized recommendations based on popular colors, increasing conversion rates and fostering customer loyalty.
- Trend Analysis for Product Development: Companies can analyze color data to identify trends in pillow sales and develop new products that meet consumer demand. This function allows businesses to stay ahead of market trends and adapt their product lines accordingly.
- AI-Powered Image Search for Home Goods: Integrating this function into image search tools can enhance user experience by allowing customers to find pillows of a specific color from images. Users can upload pictures and find similar products, boosting cross-selling opportunities.
- Quality Control in Manufacturing: Manufacturers can implement this function in their quality assurance processes to ensure pillows are produced in the correct colors. This helps maintain brand consistency and reduces the likelihood of customer complaints related to color mismatches.
- Enhanced Visual Merchandising: Retail stores can utilize this image classification function to optimize in-store displays by color coordination. It allows for dynamic adjustments in visual merchandising strategies based on color popularity, enhancing the overall shopping environment.