Identify composition quality
using AI
Below is a free classifier to identify composition quality. Just upload your image, and our AI will predict the quality of the composition in the image - 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("composition-quality", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/composition-quality/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/composition-quality/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the quality of the composition in the image.
This pretrained image model uses a Nyckel-created dataset and has 8 labels, including Adequate, Excellent, Fair, Good, Poor, Unacceptable, Very Good and Very Poor.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the quality of the composition in the image).
Whether you're just curious or building composition quality detection into your application, we hope our classifier proves helpful.
Need to identify composition quality at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- E-commerce Product Validation: Online retailers can use the composition quality identifier to assess the quality of product images before they are uploaded to their platforms. This ensures that only high-quality images are displayed to customers, potentially increasing conversion rates and customer satisfaction.
- Social Media Content Moderation: Social media platforms can implement this function to filter out low-quality or misleading images in user-generated content. By ensuring that only well-composed visuals are shared, platforms can enhance user engagement and maintain brand integrity.
- Digital Marketing Campaigns: Marketers can utilize the identifier to evaluate images for advertisements, ensuring that only visually appealing content is used in campaigns. High-composition quality images can lead to better audience retention and higher click-through rates.
- Automated Stock Photo Curation: Stock photo agencies can employ the composition quality identifier to automatically categorize and recommend images based on their visual appeal. This streamlines the selection process for users looking for high-quality images for various projects.
- Real Estate Listings Enhancement: Real estate platforms can use the function to assess and improve the quality of listings that feature property images. By ensuring that only well-composed photos are highlighted, properties can attract more potential buyers and increase interest.
- Graphic Design Quality Control: Graphic design software can integrate the identifier to offer suggestions for image improvement. This can help designers enhance their projects by identifying images needing adjustments in composition before finalizing their designs.
- Online Art Marketplaces: Art galleries and marketplaces can utilize the composition quality identifier to curate art listings, ensuring that only high-quality images are presented. This not only improves the browsing experience for buyers but also enhances the perceived value of the artwork being sold.