Identify if photo is properly white balanced
using AI
Below is a free classifier to identify if photo is properly white balanced. Just upload your image, and our AI will predict if the photo is properly white balanced - 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-is-properly-white-balanced", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-photo-is-properly-white-balanced/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-is-properly-white-balanced/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the photo is properly white balanced.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Balanced and Unbalanced.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the photo is properly white balanced).
Whether you're just curious or building if photo is properly white balanced detection into your application, we hope our classifier proves helpful.
Need to identify if photo is properly white balanced at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- E-commerce Product Photography: Online retailers can use the white balance identification function to ensure that product images appear accurately under various lighting conditions. This leads to more trustworthy visuals, which can enhance customer satisfaction and reduce return rates due to color discrepancies.
- Real Estate Listings: Real estate agencies can apply this function to verify that photos of properties are presented in their truest form. Properly balanced photos create a more inviting appearance, potentially increasing property interest and speeding up sales.
- Social Media Content Optimization: Marketing teams can utilize the identifier to assess and improve the quality of images shared on social media platforms. By ensuring images are well-balanced, brands can foster a more professional look, leading to improved audience engagement and brand perception.
- Photography App Development: Developers can integrate this function into mobile photography applications to provide users with feedback on their images. By educating users about white balance, they can help amateurs capture better photos and improve their photography skills.
- Digital Asset Management: Businesses that manage extensive digital asset libraries can implement this identification feature to streamline the sorting process. Images identified as incorrectly balanced can be flagged for retouching, ensuring that only high-quality visuals are available for use.
- Video Production Quality Control: In video production, maintaining consistent color accuracy is crucial. This identification feature can be used in post-production to assess footage for proper white balance, ensuring that the final product maintains visual integrity across different scenes.
- Online Education for Photography: Educational platforms focusing on photography can utilize this function as a teaching aid. By analyzing student work for white balance, instructors can provide targeted feedback, helping learners apply professional techniques in their photography practices.