Identify gender of director using AI

Below is a free classifier to identify gender of director. Just upload your image, and our AI will predict if the director is male or female - in just seconds.

gender of director identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("gender-of-director", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/gender-of-director/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-director/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the director is male or female.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female and Male.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the director is male or female).

Whether you're just curious or building gender of director detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify gender of director at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Film Marketing Analytics: By identifying the gender of directors in film datasets, marketing teams can analyze trends in film promotions and audiences' responses based on director demographics. This information can guide more targeted marketing strategies, fostering greater engagement with specific demographics.

  • Diversity Reporting in Film Industry: Production companies can utilize the gender classification feature to compile data on the gender breakdown of directors over time. This can help in assessing diversity initiatives and identifying areas that require improvement within their hiring practices.

  • Content Recommendation Systems: Streaming platforms can enhance their content recommendation algorithms by categorizing films based on the gender of the director. Knowing this demographic can help tailor recommendations for viewers who may prefer films directed by a particular gender.

  • Investor and Sponsorship Decisions: Investors and sponsors can analyze gender representation among directors for potential film projects. This analysis can influence funding decisions, as projects with diverse leadership might attract more investment and public support.

  • Audience Targeting for Film Festivals: Film festivals can use director gender data to curate their selections and programming. This can help the festivals highlight underrepresented voices and attract audiences interested in films directed by women or men.

  • Social Impact Studies: Researchers studying gender dynamics in the film industry can leverage director gender classification to examine its impact on film narratives and audience perceptions. This data can inform academic studies and foster discussions on gender representation in media.

  • Talent Recruitment: Talent agencies can use director gender analytics to identify successful trends and recruit filmmakers accordingly. By understanding the landscape of gender in directorial roles, agencies can better strategize their talent scouting efforts to promote inclusivity in film direction.

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