Identify gender of musician
using AI
Below is a free classifier to identify gender of musician. Just upload your image, and our AI will predict if the musician is male or female - 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("gender-of-musician", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-musician/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/gender-of-musician/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the musician is male or female.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Musician and Male Musician.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the musician is male or female).
Whether you're just curious or building gender of musician detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify gender of musician at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Music Recommendation Systems: By integrating the 'gender of musician' identifier into music streaming platforms, personalized recommendations can be tailored to users' preferences based on the gender of artists they frequently listen to. This enhances user experience by suggesting tracks or playlists that resonate with their tastes.
- Market Research and Analytics: Record labels and music companies can utilize this classification to analyze trends in music consumption related to the gender of artists. This information can guide marketing strategies and artist signing decisions, helping to optimize their portfolios for maximum audience engagement.
- Curated Playlists: Streaming services can create curated playlists that highlight contributions from male, female, or non-binary musicians. Such playlists can celebrate diversity in music and appeal to users interested in exploring artists of a specific gender.
- Equal Representation Initiatives: Music festivals and events can leverage this classifier to ensure balanced gender representation in their lineups. Event organizers can analyze their past lineups and adjust future bookings to promote gender diversity in the music industry.
- Content Moderation and Comment Filtering: Social media platforms and music forums can use this function to facilitate gender-focused discussions by filtering or tagging content related to male or female musicians. This can help create environments that highlight women's contributions or support men's music in more tailored discussions.
- Fan Engagement and Merchandise Targeting: Brands can use gender classification to design merchandise and campaigns that resonate with fans of specific artists, creating more targeted marketing efforts. This can lead to higher engagement rates and sales of gender-themed products.
- AI Training and Improvement: The 'gender of musician' identifier can serve as a training dataset for developing more sophisticated AI models in the music industry. By understanding gender representation in music, AI can be tuned to better understand broader cultural contexts and trends over time.