Identify if photo has proper framing
using AI
Below is a free classifier to identify if photo has proper framing. Just upload your image, and our AI will predict if the photo has proper framing - 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-proper-framing", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-photo-has-proper-framing/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-proper-framing/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the photo has proper framing.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Poorly Framed and Well Framed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the photo has proper framing).
Whether you're just curious or building if photo has proper framing detection into your application, we hope our classifier proves helpful.
Need to identify if photo has proper framing at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Real Estate Photography Assessment: Real estate agents can utilize the image classification function to automatically evaluate if property photos are properly framed. This ensures that listings feature high-quality images, which can lead to better engagement from potential buyers.
- Social Media Content Optimization: Influencers and brands can apply this function to assess the framing of photos before posting. By ensuring images have proper framing, they can enhance their visual appeal and increase interaction rates on social media platforms.
- E-commerce Product Image Quality Control: E-commerce platforms can implement this function to check product images for proper framing. This helps maintain consistency in product presentation, leading to improved customer trust and potentially higher conversion rates.
- Photography Training Tool: Photography educators can use the image classification function as an instructional aid. By analyzing student submissions for proper framing, they can provide targeted feedback and help improve students' photographic skills.
- Mobile Camera Application Enhancement: Mobile photo editing apps can incorporate this feature to guide users in capturing well-framed photos. This functionality can suggest framing corrections in real-time, improving the overall quality of images taken by users.
- Marketing Campaign Visual Review: Marketing teams can employ this function to review images meant for promotions or advertisements. Confirming that photos are properly framed ensures that marketing collateral is visually appealing and effectively communicates the intended message.
- Insurance Claim Processing: Insurance companies can utilize the image classification function to analyze submitted photos in claims. By verifying if the images are properly framed, they can streamline the processing of claims related to damages or property assessments, leading to faster resolutions.