Identify the color of a pair of pants
using AI
Below is a free classifier to identify the color of a pair of pants. Just upload your image, and our AI will predict what color the pair of pants is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-pair-of-pants", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-pair-of-pants/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-pants/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what color the pair of pants is.
This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Beige, Black, Blue, Brown, Gray, Green, Multi-Color, Navy, Orange and Pink.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what color the pair of pants is).
Whether you're just curious or building the color of a pair of pants detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a pair of pants at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- E-Commerce Product Categorization: Retailers can use the false image classification function to automatically categorize products based on the color of pants in customer-uploaded photos. This enables more efficient inventory management and enhances the shopping experience by allowing users to filter by color more effectively.
- Fashion Recommendation Systems: Online fashion platforms can leverage this function to suggest outfits based on the identified color of pants from user images. By analyzing colors, the system can recommend matching tops, accessories, and shoes, improving personalized user experiences.
- Social Media Analytics: Marketing firms can analyze the popularity of different colored pants in user-generated content on social media. This information can be used to inform advertising strategies and fashion trends while enhancing brand engagement by aligning with current styles.
- Retail Floor Layout Optimization: Physical retailers can utilize insights from the classification function to optimize their store layouts based on the most popular pant colors identified through customer interactions or purchases. This data-driven approach can lead to increased sales and better inventory turnover.
- Virtual Styling Services: Virtual stylists or apps can use this function to assess and provide personalized styling advice based on the user's existing wardrobe, specifically focusing on the color of pants. This can enhance client satisfaction by tailoring recommendations to their preferences and styles.
- Data-Driven Marketing Campaigns: Fashion brands can analyze customer data regarding the colors of pants purchased or worn in images to create targeted marketing campaigns. This allows brands to tailor promotions and advertisements to better match customer interests and increase conversion rates.
- Sustainability Reporting: Apparel companies can use the function to track the distribution of specific pant colors sold over time, aiding in sustainability reports and circular fashion initiatives. By understanding color trends, brands can make more informed decisions regarding production and waste management.