A computer implemented method, and a server

A computer assisted method using a machine learning model for orientation estimation and/or geolocation estimation, including:

• extracting features from a query image;
• interpolating the extracted features of the query image and extracted features from a plurality of candidate images by a scaling factor;
• estimating the azimuth rotation of the interpolated query image based on an inference of the extracted features of the interpolated query image and extracted features from the plurality of interpolated candidate images;
• shifting the plurality of interpolated candidate images based on the estimated azimuth rotation;
• determining a similarity score between the interpolated query image and the plurality of interpolated candidate images;
• and
• inferring the geolocation of the query image based on the similarity score.

A computer assisted method using a machine learning model for orientation estimation and/or geolocation estimation, including:

• extracting features from a query image;
• estimating the azimuth rotation of the query image based on an inference of the extracted features of the query image and extracted features from a plurality of candidate images;
• shifting the interpolated candidate images based on the estimated azimuth rotation;
• correlating the extracted features of the query image and the extracted features from the plurality of shifted candidate images;
• smoothing a curve associated with the correlation;
• and
• inferring the geolocation of the query image based on the smoothed correlation curve using a scaling factor.