Indoor Scene Analysis & Classification

Camera data - provides a set of camera parameters that correspond to the moment of shooting for the uploaded image. These are parameters such as FoV (focal length), camera height and camera angles that allow you to build a virtual camera that meets all the requirements for working with this image in 3D or AR modes. A virtual camera is usually used to obtain projection matrices and perform correct ray tracing in a virtual scene based on a specific photo.

Interior type - determines whether the interior belongs to one of the described types. List of types that can be determined:

Image quality - api endpoint contains information about the quality of shooting, about noise and blur artifacts at photo.

        
{   
    "camera": {
        "fov": 48.38069074577039,
        "pitch": 0.020306486046132832,
        "roll": 0.001955529658362931,
        "height": 1.5
    },
    "interior_type": "living room",
    "image_info": {
        "bad_target_confidence": 0.8,
        "blurry_confidence": 0.8,
        "dark_confidence": 0.8,
        "noisy_confidence": 0.8:
    }
}