Identify if image is cropped
using AI
Below is a free classifier to identify if image is cropped. Just upload your image, and our AI will predict if the image is cropped - 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-cropped", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-image-is-cropped/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-cropped/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the image is cropped.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Cropped and Uncropped.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the image is cropped).
Whether you're just curious or building if image is cropped detection into your application, we hope our classifier proves helpful.
Need to identify if image is cropped at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Crop Detection in Photography: This use case involves leveraging the image cropping identifier in photography applications to automatically determine whether an uploaded photo has been cropped. This feature can help photographers manage their content, ensuring that only original images or unedited versions are showcased, thereby maintaining the integrity of their portfolio.
- E-commerce Image Quality Assessment: E-commerce platforms can use the image cropping identifier to validate product images before they are published. By identifying cropped images, the platform can flag potentially misleading visuals that may not accurately represent the product, improving customer trust and satisfaction.
- Social Media Content Moderation: Social media apps can implement the identifier to detect cropped images in user uploads. By processing images to find those that have been cropped, moderation teams can ensure that content adheres to community standards, preventing the spread of altered images that may mislead or offend users.
- Crop History Tracking for Digital Media: Media management systems can employ this identifier to track crop history for images. By logging instances of cropping, organizations can maintain a record of content alterations, enabling them to revert to original images when necessary and track changes over time.
- Composition Analysis in Art: Art analysis software can utilize the cropping identifier to evaluate whether images of artwork have been cropped inappropriately. This can assist curators and art historians in ensuring that critical elements of the artwork are analyzed while preventing misinterpretation due to cropping.
- Automated Content Creation Tools: In automated graphic design software, the crop detection feature can be employed to suggest cropping adjustments. By identifying cropped images, the tool can provide recommendations for optimizing visual elements, helping users create cohesive and visually appealing content.
- Digital Forensics and Evidence Integrity: In digital forensics, the ability to identify cropped images is crucial for maintaining evidence integrity. Investigators can use this function to analyze image authenticity, determining whether an image has been altered, enhancing the credibility of forensic investigations in legal contexts.