Identify shadow intensity
using AI
Below is a free classifier to identify shadow intensity. Just upload your image, and our AI will predict the intensity of shadows present in the image - 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("shadow-intensity", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/shadow-intensity/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/shadow-intensity/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the intensity of shadows present in the image.
This pretrained image model uses a Nyckel-created dataset and has 6 labels, including Harsh, Medium, None, Soft, Very Harsh and Very Soft.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the intensity of shadows present in the image).
Whether you're just curious or building shadow intensity detection into your application, we hope our classifier proves helpful.
Need to identify shadow intensity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail Theft Prevention: By integrating a shadow intensity identifier into security cameras, retailers can enhance their theft prevention systems. The function can differentiate between normal customer behavior and suspicious activities by analyzing shadow patterns, significantly reducing the number of theft incidents.
- Automated Quality Control in Manufacturing: Manufacturing plants can utilize shadow intensity analysis to detect defects in products moving along production lines. By identifying abnormal shadows, the system can automatically flag items that may not meet quality standards, ensuring higher overall product quality.
- Architectural Lighting Design: Architects and lighting designers can leverage the shadow intensity identifier to simulate and optimize natural light usage in building designs. By analyzing how shadows interact with different elements of the design, they can create more energy-efficient layouts that maximize natural light while minimizing glare.
- Agricultural Monitoring and Health Assessment: In precision agriculture, farmers can apply shadow intensity analysis to monitor crop health and growth patterns. Changes in shadow characteristics can indicate plant stress or growth anomalies, enabling timely interventions to improve yield.
- Wildlife Conservation and Habitat Monitoring: Conservationists can use shadow intensity detection to analyze wildlife movements and their habitats. By assessing shifts in shadow patterns, they can identify changes in animal behavior, assess habitat health, and take necessary actions for conservation efforts.
- Enhanced Augmented Reality Experiences: Companies developing augmented reality applications can implement shadow intensity identifiers to create more immersive and realistic environments. By accurately rendering shadows in real-time, users can enjoy a more authentic engagement with AR content.
- Urban Planning and Street Design: Urban planners can utilize shadow intensity analysis to assess the impact of buildings and infrastructure on street-level sunlight availability. By understanding how shadows are cast throughout the day, they can make informed decisions to enhance public spaces and promote community well-being.