Identify the color of a sweater
using AI
Below is a free classifier to identify the color of a sweater. Just upload your image, and our AI will predict what color the sweater 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-sweater", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-sweater/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-sweater/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what color the sweater is.
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Beige, Black, Blue, Brown, Cream, Gold, Gray, Green, Lavender and Maroon.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what color the sweater is).
Whether you're just curious or building the color of a sweater detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a sweater at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- E-commerce Product Categorization: This function can be used by e-commerce platforms to automatically categorize sweater listings based on their color. By efficiently tagging products, retailers can enhance user experience, enabling customers to filter their searches by specific colors, thus increasing sales and customer satisfaction.
- Inventory Management: Retailers can utilize the color identifier to maintain and oversee their inventory more effectively. By analyzing the color distribution of sweaters in stock, businesses can make informed decisions on which colors are popular, leading to better restocking strategies and minimized overstock situations.
- Personalized Marketing Campaigns: Companies can leverage this function to create targeted marketing campaigns based on customers’ color preferences. By identifying the prevalent colors in their product range and matching them with customer data, organizations can personalize promotions to boost conversion rates and improve customer engagement.
- Fashion Trend Analysis: Fashion retailers can employ the color identification function to analyze market trends based on the colors of sweaters sold. This data can inform design teams about which colors are gaining popularity, aiding in future product development and ensuring alignment with consumer preferences.
- Quality Control in Manufacturing: Clothing manufacturers can implement this function during the production line to ensure consistent color quality in sweaters. By flagging any deviations from specified colors, it can reduce defects and improve overall product quality before items reach the market.
- Visual Search Optimization: Retailers can enhance visual search capabilities on their platforms by integrating the color identifier. Customers can upload images of sweaters they like, and the system can automatically categorize and suggest similar products based on color, improving the shopping experience.
- Sustainability Reporting: Brands committed to sustainability can use the color identifier to analyze the distribution of dyes used in their sweaters. This data can be leveraged in sustainability reports, showcasing efforts towards eco-friendly practices and helping to attract environmentally conscious consumers.