Identify the color of a coat
using AI
Below is a free classifier to identify the color of a coat. Just upload your image, and our AI will predict what color a coat is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-coat", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-coat/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-coat/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what color a coat is.
This pretrained image model uses a Nyckel-created dataset and has 44 labels, including Amber, Aqua, Beige, Berry, Black, Blue, Brown, Charcoal, Chocolate and Copper.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what color a coat is).
Whether you're just curious or building the color of a coat detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a coat at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail Inventory Management: This function can assist retailers in automating the classification of coat inventory based on color. By integrating the false image classification function into their inventory system, businesses can streamline the process of organizing and tracking stock levels, making it easier to identify trends and restock popular colors.
- E-commerce Merchandising: Online fashion retailers can utilize this function to classify and tag coat images more accurately based on color. This enhances the user experience by allowing customers to filter products and find their desired coat color quickly, ultimately leading to higher conversion rates.
- Fashion Trend Analysis: Fashion analysts can employ the color identifier to analyze trends in coat colors over time. By processing images from social media, runway shows, and retail outlets, businesses can gain insights into popular colors and adjust their marketing strategies accordingly.
- Virtual Dressing Rooms: This function can improve virtual dressing room applications by accurately identifying the color of coats worn by users. This capability allows for better recommendations and more realistic visualizations of how different colors appear on potential buyers.
- Social Media Monitoring: Brands can use this function to monitor user-generated content featuring their coats across social media platforms. By identifying the predominant colors in shared images, companies can gather data on consumer preferences and tailor promotional campaigns to match current trends.
- Style Recommendation Engines: Fashion apps can implement the coat color identifier in their recommendation algorithms. By understanding the color preferences of users based on identified coat colors, these platforms can suggest outfits that complement users' personal styles more effectively.
- Quality Control in Manufacturing: Manufacturers can automate quality control by using this function to detect deviations in coat colors from the desired specifications. This ensures a consistent color output for production runs, reducing waste and enhancing brand quality assurance.