Identify if photo has good composition
using AI
Below is a free classifier to identify if photo has good composition. Just upload your image, and our AI will predict if it has good composition - 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-photo-has-good-composition", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-photo-has-good-composition/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-photo-has-good-composition/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it has good composition.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Poorly Composed and Well Composed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it has good composition).
Whether you're just curious or building if photo has good composition detection into your application, we hope our classifier proves helpful.
Need to identify if photo has good composition at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Professional Photography Review: Photography studios can utilize the image composition identifier to automatically evaluate submissions from freelance photographers. By identifying well-composed images, studios can streamline the selection process for portfolios and client projects, ensuring only high-quality work is considered.
- Social Media Optimization: Social media management tools can integrate this function to analyze user-generated content before posting. By flagging images with poor composition, brands can ensure that only visually appealing content is shared, enhancing their overall online presence and engagement rates.
- E-commerce Product Listings: Online retailers can implement composition analysis to assess product photos uploaded by sellers. By filtering out images lacking proper composition, the platform can maintain a high standard for product visuals, improving customer experience and potentially increasing conversion rates.
- Educational Tools for Photography: Photography training platforms can use this function as a learning aid for students. By providing feedback on the composition of student submissions, learners can receive targeted guidance for improvement, helping them enhance their skills.
- Stock Photo Curation: Stock photography websites can leverage composition evaluation to curate their image libraries more effectively. By prioritizing images with strong composition, these platforms can attract more professional clients looking for high-quality visuals for their projects.
- Real Estate Listings: Real estate agencies can use composition analysis for photos submitted by agents. By ensuring that only well-composed images are featured in listings, agencies can enhance the appeal of properties, leading to quicker sales and improved customer interest.
- Advertising Campaigns: Marketing agencies can integrate this functionality to evaluate creative assets for ad campaigns. By ensuring that all images used in promotions have good composition, agencies can enhance the impact of their ads, leading to higher engagement and return on investment.