Scene Classification

By SmartClick | Updated 6 months ago | Visual Recognition

Scene Classification Overview

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Scene Classification

This scene classification model identifies the scenes in images and videos at scale. The model checks the scene location (indoor/outdoor) and groups them under different categories based on their attributes. It returns multiple scene labels and detailed attributes.

Input type

For the input image, the following extensions are supported: JPG, JPEG, and PNG. The maximum image size is 1920x1080.

Result example

    'Indoor': False, 
    'categories': [
                     'alley', 'street', 'downtown', 'arcade', 'crosswalk'
    'attributes': [
                     'man-made', 'no horizon', 'natural light', 'vertical components', 
                    'driving', 'pavement', 'asphalt', 'open area', 'biking'

Result interpretation

Depending on the location of the scene, it returns the indoor/outdoor info:
True- Indoor
False - Outdoor


Categories include the 5 most possible locations of the scenes. There are a total of 365 locations, such as:

  • Wheat Field
  • Hay Field
  • Corn Field
  • Farm
  • Pasture


These attributes give additional information about the scene. There are a total of 102 attributes, such as:

  • Open area
  • Natural
  • Natural Light
  • Vegetation
  • Far-away Horizon
  • Grass
  • Camping

Possible errors

While analyzing your content, you may encounter the errors listed below:

  • 400 - Bad Request
  • 404 - Not Found
  • 408 - Request Timeout
  • 415 - Unsupported Media Type
  • 422 - Unprocessable Entity
  • 500 - Internal Server Error
  • 501 - Not Implemented
  • 502 - Bad Gateway
  • 503 - Service Unavailable
  • 504 - Gateway Timeout

In case of any errors, please send the details to this email:

Why SmartClick?

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