Pretrained computer vision classifier
Identify the color of a gutter with one API call.
A pretrained the color of a gutter classifier that sorts an image into one of 10 categories — what the color of a gutter is. Use the the color of a gutter API immediately, no training required, then adapt it to your own data when you need more.
Try the the color of a gutter classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this the color of a gutter classifier recognizes
A sample of the 21 labels this pretrained classifier chooses between.
Need a label that isn't here? Clone the classifier into your Nyckel console and edit the label set to fit your data.
Call the the color of a gutter API
Get your own copy of this classifier behind your own endpoint — callable from any HTTP client:
curl -X POST "https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke" \
-H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"data": "https://example.com/photo.jpg"}'import requests
response = requests.post(
"https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke",
headers={"Authorization": "Bearer YOUR_ACCESS_TOKEN"},
json={"data": "https://example.com/photo.jpg"},
)
print(response.json())const response = await fetch("https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Content-Type": "application/json",
},
body: JSON.stringify({ data: "https://example.com/photo.jpg" }),
});
console.log(await response.json());$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/YOUR_FUNCTION_ID/invoke');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"data": "https://example.com/photo.jpg"}');
$headers = array();
$headers[] = 'Authorization: Bearer YOUR_ACCESS_TOKEN';
$headers[] = 'Content-Type: application/json';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
$result = curl_exec($ch);
curl_close($ch);
echo $result;Example response
{
"labelName": "Beige",
"labelId": "label_...",
"confidence": 0.92
}Under the hood
Trained on a Nyckel-curated dataset covering 10 the color of a gutter categories, served on Nyckel's own infrastructure — your image stays on Nyckel.
Send an image URL or file to the invoke endpoint; the response is a label with a confidence score.
Clone it, then correct predictions and add your own samples in the console — Nyckel retrains automatically, turning this into a custom model tuned to your data.
Where teams use the color of a gutter classification
Gutter Material Assessment
This function can analyze the color of a gutter to determine its material composition. Different materials often have characteristic colors, which can help contractors and builders ascertain whether the gutter needs replacement or maintenance.
Home Service Provider Verification
Service providers can utilize this identifier to confirm that the installed gutters on a property match the specifications agreed upon in their contracts. By validating gutter colors, providers ensure compliance with aesthetic and functional requirements before finalizing payment.
Aesthetic Consistency for Neighborhoods
Homeowners associations can use this function to ensure that gutter colors in a neighborhood conform to community standards. By identifying mismatched colors, they can enforce compliance and maintain the overall aesthetic of the area.
Marketing for Gutter Manufacturers
Gutter manufacturers can use color classification data to analyze market trends and consumer preferences. This information can inform product development and marketing strategies, focusing on popular colors in specific regions or demographics.
Insurance Claim Verification
Insurance companies can utilize this identifier to validate the gutter's color when processing claims related to storm or water damage. Accurate identification can help ascertain whether the damage is related to improper installation or natural wear, affecting claim outcomes.
Smart Home Integration
In smart home systems, a gutter color identifier can provide real-time monitoring for home maintenance. Homeowners could receive alerts if the gutters do not match the expected color palette, suggesting potential issues like fading or damage that necessitate attention.
Environmental Impact Assessment
Environmental agencies can use the function to evaluate the prevalence of certain gutter colors in urban areas, which can reflect material durability and environmental impact. This data can help inform policies on building materials and sustainable practices in construction.
Common questions
What's the difference between a zero-shot and a Nyckel-trained classifier?
A zero-shot classifier uses a large foundation model's general knowledge to pick between your labels — no task-specific training, so new or edited labels work immediately. A Nyckel-trained classifier has been trained on labeled examples and runs on Nyckel's own infrastructure, which typically makes it faster, cheaper per call, and more accurate on data that resembles its training set. The "Under the hood" section on this page shows which kind this classifier is, and any classifier can be adapted into a trained one by adding your own examples.
How do I know whether this will work for my application?
Honestly: we can't know in advance — it depends on your data stream and how closely it resembles what this classifier has seen. The reliable way to find out is to measure it on your own data: start invoking the classifier with real traffic, or upload and annotate a set of images in the console — make sure they look like your production data, not idealized examples. Nyckel's evaluation metrics then show you exactly how it performs on that data before you rely on it.
What happens when it makes a mistake?
No classifier is perfect, so Nyckel is built around the correction loop: invokes can be captured for review, you confirm or correct predictions in the console, and corrections become training data. Over time the model adapts to your data distribution — accuracy on your traffic improves with use rather than staying fixed.
Do I need training data to get started?
No. This the color of a gutter classifier works out of the box — clone it into your console and you'll have your own API endpoint in under a minute. Training data only enters the picture when you want to adapt it: your corrected predictions and uploaded samples improve the model, and you can also edit the label set to match your needs.
What does it cost to try?
Trying the classifier on this page is free with no signup. Cloning it requires a free account, and the free tier covers your first API calls each month — see nyckel.com/pricing for current limits and paid tiers.
Related classifiers
Ready to classify the color of a gutter at scale?
Add this pretrained classifier to your Nyckel console — you'll get a live API endpoint in under a minute, and a path to a custom model when you need one.