Pretrained computer vision classifier
Identify tank make with one API call.
A pretrained tank make classifier that sorts an image into one of 10 categories — what type of tank it is. Use the tank make API immediately, no training required, then adapt it to your own data when you need more.
Try the tank make classifier
Drop in a photo and get the prediction back. No signup, no setup.
What this tank make classifier recognizes
A sample of the 29 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 tank make 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": "Abrams",
"labelId": "label_...",
"confidence": 0.92
}Under the hood
Trained on a Nyckel-curated dataset covering 10 tank make 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 tank make classification
Military Asset Verification
The tank make identifier can be implemented by defense agencies to verify the authenticity of military assets during inspections or audits. By automatically classifying the make of a tank captured in images, military personnel can streamline their inventory and ensure compliance with national defense regulations.
Insurance Fraud Detection
Insurance companies can utilize this function to assess claims related to damaged or stolen tanks. By analyzing submitted images of tanks, insurers can confirm the make and compare it with policy details to detect potential fraud.
Auction and Resale Platforms
Online auction sites for military and heavy equipment can integrate this image classification tool to provide buyers with accurate information about tank makes. This feature enhances trust and transparency in transactions by ensuring buyers know exactly what they are bidding on.
Defense Procurement and Budgeting
Government procurement departments can use the tank make identifier to analyze inventory and make informed decisions on future purchases. By accurately identifying tank makes, they can better allocate budgets and prioritize acquisitions based on current needs.
Training Simulations
Military training programs can incorporate this technology to develop realistic training simulations that include accurate tank identification. Trainees can learn to recognize different tank types based on visual characteristics, enhancing their situational awareness skills.
Supply Chain Management
Organizations managing military supplies can use the tank make identifier to track and manage parts and equipment specific to different tank models. This ensures that maintenance and repair operations are efficient and that the right components are readily available.
Historical Research and Analysis
Researchers studying military history can leverage the tank make identifier to classify archival images of tanks from various eras. This can aid in gathering accurate data for historical analysis, exhibitions, or educational purposes, enriching the understanding of military technology evolution.
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 tank make 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.
Ready to classify tank make 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.