Identify poet by picture
using AI
Below is a free classifier to identify poet by picture. Just upload your image, and our AI will predict what type of poem it represents - 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("poet-by-picture", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/poet-by-picture/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/poet-by-picture/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of poem it represents.
This pretrained image model uses a Nyckel-created dataset and has 27 labels, including Angelou, Browning, Byron, Cavendish, Cummings, Dickinson, Elliot, Frost, Fryer and Ginsberg.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of poem it represents).
Whether you're just curious or building poet by picture detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify poet by picture at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Content Filtering: This function can be integrated into social media platforms to automatically identify and filter out images mistakenly labeled as belonging to poets. By analyzing image content against actual poet profiles, platforms can ensure that only authentic content is promoted, enhancing user experience and accuracy in categorization.
- Online Poetry Competitions: In digital poetry contests, this function can verify submissions by identifying and tagging poet images. This ensures that images submitted are legitimate and correspond to the credited poets, helping to maintain integrity within the literary community.
- Literary Analysis Tools: Academic institutions can utilize this feature within literary analysis tools to assist students in studying poetic styles and themes. By classifying images associated with poets, these tools can provide a visual context that enhances textual analysis and encourages deeper engagement with the material.
- Digital Archives Management: Museums and libraries can employ this function to manage their digital archives by accurately categorizing and tagging images of poets. This will streamline the process of building searchable databases for research purposes, making it easier for researchers to locate relevant imagery.
- Visual Content Recommendations: An image classification system can help e-commerce platforms recommend poetry-related merchandise by identifying images of poets. This enables personalized marketing strategies by suggesting products like books, prints, or merchandise that features the poets returned by the classification process.
- Enhanced Gallery Experiences: Art galleries hosting exhibitions on poetry can integrate this function to enhance visitor experiences. By providing information and context related to the poets whose images are displayed, guests can gain deeper insights into the artistic connections between visual art and poetry.
- AI-Powered Poetry Apps: Developers can implement this function within poetry writing apps that allow users to explore and create poetry based on visual prompts. By recognizing and categorizing images of poets, the app can suggest stylistic influences or themes based on the identified poet's work, enriching the user’s creative process.