Identify dance legend by picture
using AI
Below is a free classifier to identify dance legend by picture. Just upload your image, and our AI will predict what type of dance is being performed - 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("dance-legend-by-picture", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/dance-legend-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/dance-legend-by-picture/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of dance is being performed.
This pretrained image model uses a Nyckel-created dataset and has 19 labels, including Astaire, Balanchine, Baryshnikov, Cunningham, Dancer, Davis, Duncan, Foy, Graham and Kirkland.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of dance is being performed).
Whether you're just curious or building dance legend by picture detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify dance legend by picture at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Dance Style Recognition: This function can classify and identify various dance styles from images, enabling event organizers to market workshops or competitions effectively. By analyzing the visual elements of dance, organizers can tailor sessions specific to popular styles observed in the community.
- Social Media Content Tagging: Influencers and brands can utilize this function to auto-tag dance-related images based on the dance legend identified. This would enhance discoverability and engagement on platforms by connecting users with relevant content and trends.
- Dance Class Promotion: Dance studios could integrate this technology to identify dance styles in photos shared by students, which could then be used for targeted marketing campaigns. By showcasing specific styles trending within their student base, studios can attract new clients interested in learning those styles.
- Automated Content Curation: Media platforms can leverage this function to curate dance-related content by detecting and categorizing images. This helps in creating specialized directories or galleries that highlight various dance genres and their respective legends, improving user experience.
- Dance Apparel Recommendations: E-commerce platforms can implement this function to analyze user-uploaded dance images and suggest appropriate dance apparel and accessories. Analyzing the identified dance style allows for dynamic product recommendations that resonate with consumers’ interests.
- Dance Event Documentation: Event photographers can use this technology to automatically tag and classify images taken during dance events. This would streamline the process of organizing and sharing event galleries based on different dance styles, making it easier for attendees to find their moments.
- Educational Purpose in Dance Schools: Dance educators can utilize the identifier to enrich their curriculum by analyzing the student performance images. This functionality allows instructors to provide tailored feedback and suggestions, enhancing the learning experience by focusing on specific dance legends and techniques.