Identify outdoor lighting level
using AI
Below is a free classifier to identify outdoor lighting level. Just upload your image, and our AI will predict the outdoor lighting level. - 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("outdoor-lighting-level", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/outdoor-lighting-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/outdoor-lighting-level/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the outdoor lighting level..
This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Adequate, Bright, Dim, Extensive, Faint, High, Insufficient, Low, Minimal and Moderate.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the outdoor lighting level.).
Whether you're just curious or building outdoor lighting level detection into your application, we hope our classifier proves helpful.
Need to identify outdoor lighting level at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Smart City Street Lighting: This function can be used to classify outdoor lighting levels in urban environments to optimize streetlight operations. By identifying areas with sufficient natural light, municipalities can reduce energy consumption and extend the lifespan of street lighting infrastructure.
- Event Planning Safety: Event organizers can utilize this identifier to assess outdoor lighting conditions before setting up events. By ensuring adequate illumination in public spaces, they can enhance safety for attendees, reducing the risk of accidents and improving overall event experiences.
- Agricultural Monitoring: Farmers can adopt this function to monitor outdoor lighting levels in relation to crop growth stages. This insight can help them manage the timing of planting or harvesting, ensuring crops receive appropriate light exposure for optimal yield.
- Security Systems: This identifier can be integrated into security systems to determine when outdoor lighting is insufficient. By doing so, businesses and homeowners can receive automated alerts and adjust security measures, enhancing safety in poorly lit areas around properties.
- Environmental Research: Researchers can use the outdoor lighting level classification to study the effects of artificial light on wildlife and ecosystems. This data will help formulate strategies for reducing light pollution and protecting natural habitats.
- Real Estate Development: Real estate developers can leverage this function to evaluate the lighting conditions of potential development sites. Understanding natural lighting helps them design buildings with optimal light access, which can increase property value and improve tenant satisfaction.
- Transportation Planning: Transportation agencies can apply this lighting level identifier to assess visibility conditions on roads and highways. This information assists in making decisions about adding or adjusting street lighting, improving safety for drivers and pedestrians.