Identify establishing shot style
using AI
Below is a free classifier to identify establishing shot style. Just upload your image, and our AI will predict what style of establishing shot it 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("establishing-shot-style", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/establishing-shot-style/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/establishing-shot-style/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what style of establishing shot it is.
This pretrained image model uses a Nyckel-created dataset and has 19 labels, including Bird'S Eye, Close, Cut-In, Dolly Shot, Establishing High Angle, Establishing Low Angle, Establishing Overhead, Establishing Shot, Extreme Close and Extreme Wide.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what style of establishing shot it is).
Whether you're just curious or building establishing shot style detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify establishing shot style at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Automated Media Curation: This use case involves leveraging the function to classify and curate video content based on "establishing shot" styles. By automating the identification of different cinematic styles, media companies can streamline the process of selecting clips for inclusion in promotional materials or highlight reels.
- Film Production Analysis: Filmmakers can use this function to analyze raw footage for proper establishment of shots during post-production. By identifying which takes effectively use establishing shots, directors and editors can make informed decisions about scene selection and pacing in their final edits.
- Content Labeling for Streaming Services: Streaming services can implement this classifier to tag films and shows with metadata regarding their visual style. This allows for enhanced searchability and recommendations based on users’ preferences for specific cinematographic techniques.
- AI-based Video Editing Tools: Integrating this function into video editing software can assist editors by suggesting or implementing establishing shots automatically. This would enhance the efficiency of editing workflows and support beginner editors in understanding cinematic best practices.
- Educational Tools for Filmmakers: Educational platforms can utilize the classifier to develop training modules that focus on visual storytelling techniques. By identifying successful examples of establishing shots, learners can gain insights into effective scene-setting within their projects.
- Marketing and Advertising Analysis: Marketing teams can analyze the effectiveness of establishing shots in promotional videos. By identifying how these shots contribute to viewer engagement or emotional responses, marketers can refine their strategies for video content.
- Social Media Content Optimization: Social media managers can use the function to evaluate video posts for emotional and contextual impact. By understanding which videos utilize effective establishing shots, they can optimize content to better align with the platform’s audience engagement metrics.