Identify photo frame filling
using AI
Below is a free classifier to identify photo frame filling. Just upload your image, and our AI will predict what type of photo frame it 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("photo-frame-filling", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/photo-frame-filling/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/photo-frame-filling/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of photo frame it is.
This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Asymmetrical, Balanced, Cluttered, Complete, Distracted, Dynamic, Focused, Minimalist, Overfilled and Partial.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of photo frame it is).
Whether you're just curious or building photo frame filling detection into your application, we hope our classifier proves helpful.
Need to identify photo frame filling at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Personalized Marketing: A retail company utilizes the photo frame filling identifier to analyze customer images shared on social media. By identifying how customers fill their frames, the company can create targeted marketing campaigns that showcase products in a way that resonates with the audience's lifestyle and preferences.
- Content Moderation: An online community platform employs the photo frame filling identifier to detect and filter inappropriate content shared by users. This enhances the user experience by ensuring that images meet community guidelines and promotes a safer environment for all members.
- Social Media Analytics: A social media analytics firm integrates the identifier to track trends in how users compose their images. The insights gained can help brands understand popular framing styles, improving their content strategy and engagement rates with followers.
- Augmented Reality Apps: An augmented reality app developer uses the identifier to enhance the user experience by allowing personalized virtual frames based on the analysis of actual images. This technology helps users visualize how virtual elements integrate into their real-world photos before sharing.
- E-commerce Visual Enhancement: An e-commerce platform implements the photo frame filling identifier to recommend optimal image layouts for product listings. By ensuring products are showcased in appealing frames, the platform increases click-through rates and overall sales.
- Art and Photography Feedback: An online gallery integrates the identifier to provide artists and photographers with feedback on their composition. By analyzing how effectively they fill frames, the platform encourages improvements in artistic techniques and enhances the quality of submitted works.
- Event Planning Services: An event planning agency leverages the photo frame filling identifier to curate a portfolio of successful events. By analyzing which elements filled the frames of guests' photos, the agency can refine its offerings and highlight features that resonate most with potential clients.