Identify if lighting is even
using AI
Below is a free classifier to identify if lighting is even. Just upload your image, and our AI will predict if the lighting is even - 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-lighting-is-even", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-lighting-is-even/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-lighting-is-even/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the lighting is even.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Even and Uneven.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the lighting is even).
Whether you're just curious or building if lighting is even detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if lighting is even 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 ensure that products are inspected under even lighting conditions, which minimizes shadows and highlights that may skew visual inspections. By confirming uniform lighting, quality control teams can ensure that defects are detected accurately.
- Photography Studio Setup: In photography studios, ensuring even lighting is crucial for capturing high-quality images. This function can help photographers assess lighting setups before a shoot, ensuring that the final images are consistent in tone and exposure.
- Agricultural Monitoring: In agricultural settings, this identifier can be deployed using drones or cameras to monitor plant health. It can determine whether crops are being evaluated under adequate lighting, which is essential for accurate assessment of plant conditions, growth rates, and disease presence.
- Video Production Analysis: In video production, maintaining even lighting is paramount for achieving professional-quality footage. This function can be integrated into production workflows to evaluate lighting conditions during shoots, allowing for real-time adjustments to improve video quality.
- Retail Store Monitoring: Retailers can utilize this identifier in their stores to ensure that displays are lit evenly, enhancing product visibility and customer experience. By monitoring lighting conditions, store managers can adjust lighting fixtures that may cause glare or uneven shadows.
- Art Exhibit Presentation: Museums and galleries can use this identifier to help maintain the best presentation of artworks. By ensuring even lighting, curators can enhance the viewer's experience, allowing artworks to be appreciated in their intended context without distortions caused by lighting variations.
- Remote Learning Environments: In remote learning or virtual classrooms, even lighting helps enhance video quality, making it easier for participants to engage. This function can assess the lighting conditions of instructors' setups, ensuring that students receive the best visibility for learning materials and presentations.