Identify lighting style type
using AI
Below is a free classifier to identify lighting style type. Just upload your image, and our AI will predict what type of lighting style is present - 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("lighting-style-type", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/lighting-style-type/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/lighting-style-type/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of lighting style is present.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Ambient, Artificial, Backlighting, Candlelight, Chiaroscuro, Dramatic, Fill Light, Flat, Golden Hour and Hard.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of lighting style is present).
Whether you're just curious or building lighting style type detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify lighting style type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Interior Design Consultation: The lighting style type identifier can assist interior designers in selecting appropriate lighting fixtures that complement a room's aesthetic. By analyzing images of the space, the function can categorize existing lighting styles, helping designers make informed recommendations to clients.
- E-commerce Product Categorization: Online retailers can use the function to automatically classify product images based on their lighting style. This can enhance searchability and improve customer experience by allowing users to filter and find products that fit their desired lighting ambiance.
- Real Estate Virtual Tours: In the real estate sector, the lighting style type identifier can enhance virtual tours by identifying and highlighting the lighting styles of listed properties. This helps potential buyers visualize the atmosphere of a space, improving engagement and increasing the chances of sale.
- Photography Enhancement Recommendations: Photographers can leverage the identifier to analyze their work and receive feedback on the lighting styles used in their images. This insight can guide them in adjusting their techniques for better results in future shoots.
- Social Media Content Strategy: Brands can use the lighting style type identifier to analyze engagement levels based on different lighting styles used in their social media posts. This analysis can inform content creation strategies, allowing brands to optimize their visual appeal and boost audience engagement.
- Film and Video Production: In the film industry, this function can assist cinematographers in assessing the impact of different lighting styles on scenes. By quickly identifying lighting styles in pre-production images, they can make strategic decisions that enhance the film's overall mood and visual storytelling.
- Art Curation and Exhibition Planning: Art curators can utilize the lighting style type identifier to ensure that the lighting in galleries complements the artworks on display. By categorizing artworks based on the ideal lighting styles needed for their presentation, curators can create a more immersive and aesthetically pleasing exhibition space.