Identify the color of a house
using AI
Below is a free classifier to identify the color of a house. Just upload your image, and our AI will predict the color of a house it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("the-color-of-a-house", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-a-house/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/the-color-of-a-house/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color of a house it is.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Beige, Black, Blue, Brick, Brown, Cream, Gray, Green, Maroon and Multi-Color.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of a house it is).
Whether you're just curious or building the color of a house detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of a house at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Real Estate Listings: This function can enhance real estate platforms by automatically identifying and displaying the color of houses in listing photos. By standardizing the color classification, potential buyers can filter properties based on their color preferences, improving user experience and satisfaction.
- Neighborhood Aesthetics Analysis: Urban planners and local governments can use this function to assess the color distribution of homes within neighborhoods. This analysis can help in understanding community aesthetics and inform decisions related to zoning, building regulations, and local development projects.
- Home Improvement Recommendations: Home improvement companies can leverage this image classification function to provide tailored suggestions for exterior renovations. By analyzing the existing color of a house, the service can recommend complementary color schemes and materials for customers seeking to enhance their homes.
- Marketing and Advertising: Businesses in the home decor and improvement sectors can utilize color classification to create targeted marketing campaigns. By identifying the prevalent colors in certain neighborhoods, companies can tailor their promotions and product offerings to align with local preferences.
- Insurance Risk Assessment: Insurance companies can implement this function to assess and classify properties based on exterior color. Understanding color trends can contribute to risk assessments, as certain colors may represent different material qualities or maintenance trends, impacting insurance premiums and risk evaluations.
- Environmental Impact Studies: Researchers and environmental organizations can use color classification to study the relationship between house colors and urban heat, energy consumption, and environmental effects. Analysis of color trends can lead to sustainable housing strategies and recommendations for future development.
- Social Media Content Curation: Social media platforms could use this function to categorize and recommend content based on the color of users’ homes. By identifying and showcasing color-matching trends, users can discover relevant design inspirations and home decor ideas that resonate with their aesthetic preferences.