Identify the color of a pair of capris
using AI
Below is a free classifier to identify the color of a pair of capris. Just upload your image, and our AI will predict the dominant color of a pair of capris - 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-pair-of-capris", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-pair-of-capris/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-pair-of-capris/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the dominant color of a pair of capris.
This pretrained image model uses a Nyckel-created dataset and has 50 labels, including Amber, Aquamarine, Beige, Black, Blue, Brick, Brown, Burgundy, Charcoal and Cherry.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the dominant color of a pair of capris).
Whether you're just curious or building the color of a pair of capris detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a pair of capris at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fashion Retail Inventory Management: The False image classification function can be integrated into inventory management systems of fashion retailers to automate the categorization of capris based on color. This can streamline the stock management process, ensuring that products are easily searchable and organized by the correct color.
- E-commerce Product Listings Optimization: Online clothing retailers can utilize this function to enhance product listings by automatically identifying and displaying the correct color of capris in their catalogs. This ensures accurate representation, minimizes customer confusion, and can lead to improved conversion rates.
- Visual Search for Mobile Apps: Fashion mobile apps can incorporate this function to enable users to visually search for capris of a specific color. By scanning images, users can quickly find similar products available for purchase, enhancing user experience and engagement.
- Social Media Marketing Automation: Marketers can use this function to analyze social media posts featuring capris and classify them by color for targeted advertising. This data can help tailor marketing campaigns to specific demographics, boosting relevance and interaction rates.
- Inventory Analytics and Trend Forecasting: Retail analytics platforms can implement this function to analyze color trends in capris over time. By understanding which colors are popular, businesses can make informed inventory decisions and forecast future trends effectively.
- Returns Management: By integrating the False image classification function into returns processing systems, retailers can minimize errors related to mistaken product color returns. This can lead to improved customer satisfaction by ensuring customers receive the correct items.
- Personalized Shopping Experience: Online retailers can employ this function to create personalized recommendations based on users’ color preferences for capris. By analyzing user data and automatically identifying item colors, retailers can enhance the shopping journey tailored to each customer’s tastes.