Identify director by photo
using AI
Below is a free classifier to identify director by photo. Just upload your image, and our AI will predict who the director is - 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("director-by-photo", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/director-by-photo/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/director-by-photo/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict who the director is.
This pretrained image model uses a Nyckel-created dataset and has 46 labels, including Andersson, Belushi, Bergman, Bong, Boran, Cameron, Coppola, Cronenberg, Dardennes and Eastwood.
We'll also show a confidence score (the higher the number, the more confident the AI model is around who the director is).
Whether you're just curious or building director by photo detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify director by photo at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Film Production Casting: The 'director by photo' identifier can be used in film production to streamline the casting process. By quickly identifying directors associated with specific visual styles, producers can make more informed decisions about which directors to approach for their projects.
- Film Festival Jury Selection: Festival organizers can utilize the function to select jury members based on their previous works and directorial styles. By recognizing directors through their photography, festivals can curate panels that align with the event's themes and objectives.
- Market Research for Film Genres: Market analysts can leverage the image classification function to analyze popular directorial styles associated with specific genres. This data can help studios identify trends, informing them which directors are favored for upcoming types of films.
- Film Archive Organization: Libraries and archives can use the identifier to better categorize their collections of films and related materials. By classifying images of directors, they can create enhanced search functionalities, allowing users to easily find films based on directorial style.
- Social Media Promotion: Marketing teams can employ the function to target audiences more effectively on social media platforms. By recognizing popular directors through photos, campaigns can focus on the right demographics who are likely to engage with those directors’ works.
- Educational Content Creation: Educational institutions and online learning platforms can use the identifier to develop tailored courses on film studies. By associating directors with their images, students can gain a visual understanding of different styles and techniques prevalent in cinema.
- Automated Asset Cataloging: Production companies can implement the function to automate the categorization of visual assets in their libraries. By recognizing directorial images, they can ensure that promotional materials, behind-the-scenes footage, and other resources are associated with the correct creative leads.