Identify modification type
using AI
Below is a free classifier to identify modification type. Just upload your image, and our AI will predict the type of modification applied to the object. - 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("modification-type", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/modification-type/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/modification-type/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of modification applied to the object..
This pretrained image model uses a Nyckel-created dataset and has 21 labels, including Anniversary Edition, Beta, Collaboration, Conversion, Custom, Demo, Expansion, Fan Made, Fan Project and Live Version.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of modification applied to the object.).
Whether you're just curious or building modification type detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify modification type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: Implement the false image classification function to automatically detect and flag images that have been manipulated or altered in social media posts. This aids platforms in maintaining community standards and ensuring that users are exposed to authentic content.
- Brand Protection: Use the classification functionality to monitor online platforms for counterfeit or altered images of branded products. By identifying modified images, brands can take proactive measures against intellectual property theft and promote genuine merchandise.
- News Integrity: News organizations can employ the image classification function to verify the authenticity of visuals in articles and reports. This ensures that the information disseminated to the public is credible and helps combat the spread of misinformation.
- Digital Forensics: In investigations, law enforcement agencies can utilize the classifier to assist in analyzing evidence by determining if images have been tampered with. This supports legal proceedings by providing clear insights into potential fraud or evidence manipulation.
- E-commerce Authenticity: Online marketplaces can integrate the function to detect modified product images uploaded by sellers. By ensuring the authenticity of listings, platforms can enhance customer trust and reduce the incidence of misleading advertisements.
- AI Training Data Validation: Companies developing AI models can use the classification to assess the quality of training data by identifying modified images that might skew results. Ensuring high-quality, unaltered data helps in creating more robust and reliable AI systems.
- Social Media Marketing: Marketing teams can leverage this functionality to analyze user-generated content featuring their brand. By identifying altered images, brands can engage with customers more transparently and encourage authentic interactions with their products.