Identify the color of a pair of glasses
using AI
Below is a free classifier to identify the color of a pair of glasses. Just upload your image, and our AI will predict what color the pair of glasses 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-glasses", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-pair-of-glasses/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-glasses/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what color the pair of glasses is.
This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Black, Blue, Brown, Clear, Gray, Green, Metallic, Multi-Color, 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 glasses is).
Whether you're just curious or building the color of a pair of glasses detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a pair of glasses at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Inventory Management: Retailers can utilize the false image classification function to categorize and manage their eyewear inventory by color. This will allow for more efficient stock tracking and prevent mislabeling of products.
- Marketing Personalization: By identifying the color of glasses worn by users in images, marketing teams can create targeted campaigns that showcase products matching individual preferences. This function could enhance customer engagement by delivering more relevant advertisements to potential buyers.
- Virtual Try-On Solutions: Eyewear brands can integrate this image classification function into their virtual try-on applications to enhance user experience. By identifying the color of the glasses users are interested in, the system can recommend similar styles and colors available in their inventory.
- Fashion Trend Analysis: Social media platforms can leverage this function to analyze trends related to eyewear colors in user-generated content. This data can inform brands about emerging styles, allowing them to adapt their collections accordingly.
- Customer Feedback and Reviews: E-commerce platforms can implement this functionality to analyze customer-uploaded images of eyewear in reviews, ensuring color accuracy and consistency with product listings. This will help improve customer satisfaction by addressing any discrepancies.
- Augmented Reality Experiences: Companies can use this false image classification feature to enhance augmented reality experiences, allowing users to see themselves in different colored glasses. This capability would make customers more likely to try and purchase varied eyewear options.
- Inventory Recommendations: Optical retailers can employ the function to assess popular shades based on customer-uploaded images, leading to optimized ordering processes. By predicting which colors are trending, recommendations for future inventory decisions can be made more effectively.