Identify view type
using AI
Below is a free classifier to identify view type. Just upload your image, and our AI will predict the type of view it represents - 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("view-type", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/view-type/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/view-type/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of view it represents.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Beach, Canyon, City, Coastal, Countryside, Desert, Forest, Island, Lake and Mountain.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of view it represents).
Whether you're just curious or building view type detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify view type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Real Estate Listing Validation: This function can be used by real estate platforms to classify images of properties as residential, commercial, or industrial. By automatically identifying the view type, the platform can ensure that listings are categorized accurately, enhancing user experience and search efficiency.
- Social Media Content Moderation: Social media platforms can utilize this function to classify images based on their view types, preventing the display of inappropriate or misleading content. By filtering images such as scenic views versus controversial content, the platform can maintain community standards and improve user trust.
- Travel and Tourism Services: Travel agencies and tourism websites can use the view type identifier to categorize promotional images for destinations. This can help tailor marketing campaigns, ensuring that travelers see relevant content based on their interests, such as nature views, urban landscapes, or historical sites.
- E-commerce Product Categorization: Online marketplaces can implement this function to automatically classify images of products based on their context, such as fashion, furniture, or electronics. This ensures that product images are placed in the correct categories, facilitating better navigation and a smoother shopping experience for customers.
- Automated Image Tagging for SEO: Businesses can leverage this technology to improve their search engine optimization (SEO) by automatically tagging images based on their type. Accurately categorized images enhance web content, leading to better visibility in search engine results and potentially higher traffic.
- Smart Home Security Analysis: Home security systems can use the identifier to analyze footage from cameras and classify views, such as identifying people, vehicles, or animals. This classification enhances the system's ability to send alerts or notifications to homeowners based on the context of what's detected.
- Augmented Reality Experiences: Developers of augmented reality applications can use this identifier to tailor content based on the user's environment. By recognizing the type of view (e.g., urban versus natural), the application can provide relevant overlays, enhancing user engagement and the overall AR experience.