Identify the color of a frame
using AI
Below is a free classifier to identify the color of a frame. Just upload your image, and our AI will predict the color of a frame it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-frame", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-frame/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-frame/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color of a frame it is.
This pretrained image model uses a Nyckel-created dataset and has 18 labels, including Beige, Black, Blue, Brown, Gold, Gray, Green, Maroon, Multicolor and Navy.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of a frame it is).
Whether you're just curious or building the color of a frame detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a frame at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Art Gallery Inventory Management: This function can be utilized by art galleries to automatically categorize and manage their inventory based on the color of picture frames. By quickly identifying and classifying frames, galleries can enhance their organization and streamline their exhibition setups.
- E-Commerce Product Categorization: Online retailers can employ this function to sort and classify decorative frames by their colors in inventory management systems. This will improve the user experience by allowing customers to filter products based on frame color, thereby increasing sales conversions.
- Home Decor Recommendation Engines: Interior design apps can integrate this image classification function to recommend color-coordinated frames to users based on their existing decor. By analyzing frame colors efficiently, these applications can suggest personalized design items that complement a user’s style.
- Real Estate Virtual Staging: Real estate services can incorporate this function to identify the colors of frames in staging photos. This information can enhance virtual staging tools by helping potential buyers visualize how different frame colors would look in their new homes, thereby influencing purchasing decisions.
- Social Media Content Analysis: Social media marketing tools can use this function to analyze posts featuring frames in user-generated content. By identifying the color of frames, brands can tailor their marketing strategies based on the colors that resonate most with their target audience.
- Quality Control in Manufacturing: Frame manufacturers can employ this function in their quality control processes to ensure that the colors of the frames meet specified standards. By automating the classification of frame colors, manufacturers can reduce human error and enhance product consistency.
- Custom Frame Order Processing: Custom framing businesses can utilize this classification function to automate the order processing of frames based on customer specifications. By accurately identifying frame colors, companies can quickly match orders with available inventory, improving fulfillment speed and customer satisfaction.