Identify if image is filtered
using AI
Below is a free classifier to identify if image is filtered. Just upload your image, and our AI will predict if the image is filtered - 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("if-image-is-filtered", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-is-filtered/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/if-image-is-filtered/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image is filtered.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Filtered and Unfiltered.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image is filtered).
Whether you're just curious or building if image is filtered detection into your application, we hope our classifier proves helpful.
Need to identify if image is filtered at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Content Moderation: This function can be used to identify and filter out images that have been altered or enhanced using various filters. Social media platforms can ensure that user-generated content adheres to community standards, improving the overall quality of shared images.
- E-commerce Quality Control: E-commerce platforms can implement this function to verify product images uploaded by sellers. By identifying filtered images, the platform can reject or flag misleading representations, leading to greater consumer trust and fewer returns.
- Digital Forensics: Law enforcement and forensic specialists can employ this image classification function to analyze evidence. By determining if an image has been altered with filters, investigators can gain insights into authenticity, potentially impacting legal outcomes.
- Advertising Compliance: Marketing agencies can utilize this function to ensure that promotional images comply with advertising regulations that prohibit deceptive practices. By filtering out manipulated visuals, brands can maintain integrity and avoid legal repercussions.
- Art and Photography Curation: Galleries and art platforms can apply this function to curate collections based on the authenticity of images. By distinguishing between filtered and unfiltered artwork, they can showcase genuine works and preserve artistic integrity.
- Machine Learning Training Data Validation: Companies using image datasets for training machine learning models can implement the filtering identifier to ensure the quality of their data. By excluding filtered images, they can improve the accuracy and reliability of their AI systems.
- User-Generated Content Platforms: Websites that rely on user-generated content, such as review and community forums, can deploy this function to assess the authenticity of images submitted by users. This helps to maintain the credibility of user submissions and enhances community trust.