Identify peripheral vision
using AI
Below is a free classifier to identify peripheral vision. Just input your text, and our AI will predict what type of visual impairment it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("peripheral-vision", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/peripheral-vision/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/peripheral-vision/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict what type of visual impairment it is.
This pretrained text model uses a Nyckel-created dataset and has 5 labels, including Mildly Restricted, Moderately Restricted, Normal, Severely Restricted and Totally Absent.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of visual impairment it is).
Whether you're just curious or building peripheral vision detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify peripheral vision at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Email Spam Detection: The 'peripheral vision' identifier can be used to enhance email spam filters by identifying patterns and characteristics in emails that are typically associated with spam. By analyzing both obvious and subtle cues, it can prevent spam messages from cluttering users’ inboxes.
- Social Media Moderation: This classification function can help in content moderation on social media platforms by flagging inappropriate content that may not be immediately obvious. It can detect nuanced language and context, reducing the risk of false negatives in identifying harmful posts.
- Financial Fraud Detection: Financial institutions can utilize the 'peripheral vision' function to spot unusual transactions that deviate from a user’s typical behavior. This proactive approach can help in identifying potential fraud attempts before significant losses occur.
- Customer Feedback Analysis: Companies can leverage this text classification tool to analyze customer feedback and reviews more effectively. By identifying hidden sentiments and insights in customer comments, businesses can make more informed decisions to improve their products and services.
- Content Recommendation Systems: Online platforms can integrate the 'peripheral vision' identifier into their content recommendation engines. By understanding the subtle preferences of users, it can suggest articles, products, or multimedia that they may not explicitly search for but are likely to enjoy.
- Threat Intelligence in Cybersecurity: The tool can assist cybersecurity teams by analyzing text data for potential threats or security breaches. By highlighting suspicious communications or emerging topics in threat discussions, it strengthens proactive defense measures.
- Healthcare Record Analysis: In healthcare, the classification function can process clinician notes and patient records to identify patterns indicative of potential health risks or misdiagnoses. This capability can facilitate more timely interventions and improved patient outcomes through better data analysis.