Identify if has proper white balance
using AI
Below is a free classifier to identify if has proper white balance. Just upload your image, and our AI will predict if it has proper white balance - 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-has-proper-white-balance-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-has-proper-white-balance-identifier/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-has-proper-white-balance-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it has proper white balance.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Balanced and Poor White Balance.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it has proper white balance).
Whether you're just curious or building if has proper white balance detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if has proper white balance at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Photo Editing Software Integration: The 'if has proper white balance' identifier can be integrated into photo editing software to help users automatically detect and adjust the white balance in their images. This feature will enhance editing efficiency, allowing photographers to focus on more creative aspects of their work.
- E-Commerce Product Photography: E-commerce platforms can utilize this function to ensure that product images have accurate white balance, improving the visual appeal and consistency of product listings. Properly balanced images can lead to higher customer trust and potentially increase conversion rates.
- Real Estate Virtual Tours: In real estate listings and virtual tours, maintaining proper white balance is essential for rendering interiors accurately. By automating the white balance check, agents can ensure that digital staging and property photos look natural and inviting, appealing to potential buyers.
- Social Media Content Creation: Content creators can employ the white balance identifier to analyze their photos before posting on social media. By ensuring high-quality, color-accurate images, creators can enhance their brand image and attract a larger audience through visually appealing content.
- AI-Driven Image Classification: In machine learning and AI applications, detecting proper white balance is crucial for training robust image classification models. Improved accuracy in classifications can lead to better outcomes in diverse fields, from autonomous vehicles to medical diagnostics based on visual data.
- Photography Training Programs: Photography schools and workshops can use this identifier in training tools to teach students about the importance of white balance. By providing feedback on their images, students can learn to make informed adjustments in real-time, enhancing their technical skills.
- Digital Asset Management Systems: Media organizations can implement the white balance check within digital asset management systems to streamline image review processes. This automation can help curators quickly identify and catalogue images that meet professional standards for publication and distribution.