Identify transformer conditions
using AI
Below is a free classifier to identify transformer conditions. Just upload your image, and our AI will predict the conditions under which the transformer operates - 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("transformer-conditions", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/transformer-conditions/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/transformer-conditions/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the conditions under which the transformer operates.
This pretrained image model uses a Nyckel-created dataset and has 5 labels, including Brand New Condition, Excellent Condition, Fair Condition, Good Condition and Poor Condition.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the conditions under which the transformer operates).
Whether you're just curious or building transformer conditions detection into your application, we hope our classifier proves helpful.
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Need to identify transformer conditions at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
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