Identify framing technique
using AI
Below is a free classifier to identify framing technique. Just upload your image, and our AI will predict the appropriate framing technique to use - 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("framing-technique", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/framing-technique/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/framing-technique/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the appropriate framing technique to use.
This pretrained image model uses a Nyckel-created dataset and has 49 labels, including Abstract, Amateur, Asymmetrical, Balanced, Colorful, Commercial, Compositionally Strong, Contextual, Creative and Detailed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the appropriate framing technique to use).
Whether you're just curious or building framing technique detection into your application, we hope our classifier proves helpful.
Need to identify framing technique at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Image Protection: This use case focuses on protecting brand integrity by using a framing technique identifier to detect manipulated images that may misrepresent the brand’s products. Companies can monitor social media and advertising to ensure that only authentic representations are shared, minimizing risks of misinformation.
- User-Generated Content Moderation: Social media platforms can employ this function to identify and filter out false images in user-generated content. By ensuring that the images shared by users are authentic, platforms can foster a more trustworthy community and enhance user experience.
- E-commerce Product Verification: E-commerce websites can utilize the image classification function to verify the authenticity of product images uploaded by sellers. By ensuring that vendors present genuine images, the platform can build trust among customers and reduce fraud.
- News Media Integrity: News organizations can implement this technology to verify images before publication, ensuring that their reports are based on true representations. This practice not only boosts credibility but also helps in combating the spread of misinformation.
- Political Campaign Monitoring: Political campaigns can use the framing technique identifier to analyze images shared during electoral periods, ensuring that misinformation or misleading portrayals do not influence public perception. By promptly addressing false imagery, campaigns can uphold ethical standards and promote informed voting.
- Art and Museum Authentication: Galleries and museums can employ this image classification tool to authenticate artworks by ensuring that displayed images are accurate representations. This can help in preserving cultural heritage and maintaining the value of art collections.
- Education and Training Materials Review: Educational institutions can leverage this technology to review images included in textbooks and online resources, ensuring that all depicted content is accurate and properly framed. This promotes academic integrity and enhances the quality of educational materials presented to students.