Identify monitor features
using AI
Below is a free classifier to identify monitor features. Just input your text, and our AI will predict the presence of various features in your monitored data - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("monitor-features", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/monitor-features/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.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_text_here"}' \
https://www.nyckel.com/v1/functions/monitor-features/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the presence of various features in your monitored data.
This pretrained text model uses a Nyckel-created dataset and has 31 labels, including 4K, Adjustable Stand, Anti-Glare, Brightness Adjustment, Budget, Built-In Speaker, Color Calibration, Curved, Fhd and Fixed Stand.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the presence of various features in your monitored data).
Whether you're just curious or building monitor features detection into your application, we hope our classifier proves helpful.
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Need to identify monitor features at scale?
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