Identify if photo has proper lighting
using AI
Below is a free classifier to identify if photo has proper lighting. Just upload your image, and our AI will predict if the photo has proper lighting - 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-lighting", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-photo-has-proper-lighting/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-lighting/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the photo has proper lighting.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Poorly Lit and Well Lit.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the photo has proper lighting).
Whether you're just curious or building if photo has proper lighting detection into your application, we hope our classifier proves helpful.
Need to identify if photo has proper lighting at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Photography Quality Assurance: Professional photographers can use the lighting identifier to assess the quality of their images in real-time while shooting. This tool helps them ensure that all photos meet the necessary lighting standards before final edits, reducing post-production work.
- E-commerce Product Listings: Online retailers can utilize the lighting classification to automatically evaluate product images submitted by sellers. By ensuring that all product images have proper lighting, it improves visual appeal and enhances customer engagement, leading to higher sales conversions.
- Social Media Content Moderation: Social media platforms can implement this function to flag user-uploaded images that lack proper lighting for review. This ensures that content shared on the platform maintains a certain aesthetic quality, fostering a more engaging environment for users.
- Smartphone Camera Optimization: Camera apps can integrate the lighting identifier to provide real-time feedback to users while capturing photos. This feature gives suggestions for optimal lighting adjustments, enhancing photo quality and user experience significantly without requiring extensive photography knowledge.
- Virtual Event Management: Event organizers can use this tool to evaluate and monitor the lighting of live-streamed events or webinars. Ensuring well-lit presentations can enhance viewer engagement and comprehension, creating a more professional and impactful experience.
- Real Estate Listings Enhancement: Real estate agencies can apply the lighting identifier to assess property photos before listings go live. Homes with well-lit images are more attractive to potential buyers, increasing the chances of quicker sales and providing better virtual tours.
- AI Art Generation: Artists and designers using AI art tools can leverage the lighting classification to refine their outputs. By ensuring that generated images have proper lighting, it increases the overall quality and realism of artistic creations, making them more appealing for commercial use.