Identify photo placement
using AI
Below is a free classifier to identify photo placement. Just upload your image, and our AI will predict what the optimal photo placement is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("photo-placement", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/photo-placement/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-placement/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what the optimal photo placement is.
This pretrained image model uses a Nyckel-created dataset and has 9 labels, including Bottom Center, Bottom Left, Bottom Right, Middle Center, Middle Left, Middle Right, Top Center, Top Left and Top Right.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what the optimal photo placement is).
Whether you're just curious or building photo placement detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify photo placement at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Ad Content Verification: This use case involves utilizing the photo placement identifier to ensure that images in digital advertisements match the corresponding product or service being promoted. By flagging mismatches, companies can maintain brand integrity and improve customer trust in their marketing efforts.
- E-commerce Product Listing Validation: E-commerce platforms can employ this function to verify that product images accurately represent the items being sold. This helps reduce customer dissatisfaction and return rates caused by misleading images, thus improving overall shopping experiences.
- Social Media Monitoring: Social media platforms can use the image classification function to detect and filter out false or misleading images in posts. This helps in maintaining community standards and reducing the spread of misinformation, ultimately enhancing user experience and platform integrity.
- Copyright Infringement Detection: Content creators and rights holders can implement the photo placement identifier to identify unauthorized use of images. By automatically flagging misappropriated images, this function aids in protecting intellectual property rights and enforcing copyright compliance.
- Fraud Prevention in Online Marketplaces: Online marketplaces can use this technology to identify fraudulent listings that use false images. By flagging these discrepancies, the platform can step in to protect buyers from scams and enhance overall marketplace safety.
- Digital Asset Management: Companies can utilize the photo placement identifier to audit their digital assets and ensure that images are used appropriately across marketing channels. This ensures compliance with branding guidelines and improves the consistency of visual presentations.
- AI Training Dataset Integrity: Organizations developing machine learning models can employ the photo placement identifier to ensure the quality and accuracy of training datasets. By detecting false image placements, they can enhance model performance and reliability, leading to better AI outcomes.