Identify lighting contrast level
using AI
Below is a free classifier to identify lighting contrast level. Just upload your image, and our AI will predict the lighting contrast level of an image - in just seconds.
Contact us for API access
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("lighting-contrast-level", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/lighting-contrast-level/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-contrast-level/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the lighting contrast level of an image.
This pretrained image model uses a Nyckel-created dataset and has 7 labels, including High, Low, Medium, Medium High, Medium Low, Very High and Very Low.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the lighting contrast level of an image).
Whether you're just curious or building lighting contrast level detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify lighting contrast level at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: This function can be used in manufacturing processes to assess the lighting contrast of product images on assembly lines. By ensuring consistent lighting conditions in product photographs, businesses can enhance quality assurance measures and reduce defects in final products.
- E-commerce Photography Optimization: Online retail can leverage the lighting contrast level identifier to analyze product images before they are uploaded. This helps ensure that all images maintain a uniform visual standard, enhancing customer experience and reducing return rates due to misrepresented product appearances.
- Brand Consistency Monitoring: Companies can monitor brand image presentations across various marketing channels by evaluating the lighting contrast in promotional materials. Maintaining a cohesive and appealing aesthetic can help reinforce brand identity and improve consumer recognition.
- Real Estate Virtual Tours: In real estate, this function can be used to evaluate images used in virtual tours, making sure they meet contrast standards for clarity and aesthetic appeal. Optimal lighting contrast can enhance the attractiveness of listed properties and lead to higher engagement and sales.
- Social Media Content Strategy: Marketing teams can use this identifier to analyze the contrast levels of images intended for social media campaigns. By optimizing the lighting conditions in visual content, brands can increase audience engagement and improve the overall effectiveness of marketing strategies.
- Photography Training Programs: Educational programs focused on photography can integrate this function to teach students about the importance of lighting contrast. By providing real-time feedback on their images, learners can quickly grasp essential lighting concepts and improve their skills.
- Healthcare Imaging: In healthcare, this function can assist in evaluating imaging quality for diagnostics by assessing the lighting conditions of medical images. Ensuring proper contrast can enhance the readability of scans and photographs, leading to more accurate diagnoses and better patient outcomes.