Identify the color of an outdoor light fixture
using AI
Below is a free classifier to identify the color of an outdoor light fixture. Just upload your image, and our AI will predict the color of an outdoor light fixture - 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("the-color-of-an-outdoor-light-fixture", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/the-color-of-an-outdoor-light-fixture/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-an-outdoor-light-fixture/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color of an outdoor light fixture.
This pretrained image model uses a Nyckel-created dataset and has 16 labels, including Beige, Black, Blue, Bronze, Brown, Clear, Gray, Green, Multi-Color and Orange.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color of an outdoor light fixture).
Whether you're just curious or building the color of an outdoor light fixture detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify the color of an outdoor light fixture at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail Inventory Management: Retailers can utilize the false image classification function to categorize outdoor light fixtures by color, enhancing inventory tracking. This helps in automating stock management processes and ensuring that customers can find the exact colors they prefer.
- Home Improvement Apps: Home improvement applications can leverage this function to assist users in selecting outdoor light fixtures that match their home's exterior color scheme. Users can upload images of their homes, and the app will identify suitable fixture colors, improving the renovation experience.
- E-commerce Product Filtering: E-commerce platforms can implement this function to enable customers to filter outdoor light fixtures by color. By automatically classifying product images, customers can quickly find products that meet their aesthetic preferences, leading to increased satisfaction and higher conversion rates.
- Smart City Lighting Projects: City planners can use this classification function to evaluate and implement consistent color schemes for outdoor lighting in public spaces. This promotes visual harmony and aesthetics within urban environments, aligning with community standards and enhancing public spaces.
- Social Media Marketing: Brands can utilize this technology for targeted marketing campaigns on social media by identifying popular colors in user-generated images of outdoor lighting. By analyzing trends, brands can tailor advertisements to appeal to various consumer preferences, thereby boosting engagement and sales.
- Architectural Visualization Tools: Architectural firms can integrate this function into design software, allowing clients to visualize how different outdoor light fixture colors will look in their projects. This can help clients make informed decisions and improve overall project satisfaction.
- Energy Efficiency Analysis: Environmental organizations can use this function to analyze outdoor lighting fixtures by color in terms of energy efficiency. By identifying prevalent colors in street lighting, they can recommend more eco-friendly lighting solutions that conservatively use energy while also maintaining public safety and visibility.