Machine-learning based object localization from images

An apparatus for object localization, the apparatus comprising:

• a memory for storing a plurality of images containing one or more objects of interest;
• and
• processing circuitry in communication with the memory, wherein the processing circuitry is configured to:
• retrieve the plurality of images containing the one or more objects of interest;
• generate, using a machine learning model, a bounding box around each of the one or more objects of interest for each of the plurality of images;
• and
• determine a geographical position of each of the one or more objects of interest based on a position of the bounding box.

A computer-readable medium storing instructions that, when applied by processing circuitry, causes the processing circuitry to:

• retrieve the plurality of images containing the one or more objects of interest;
• generate, using a machine learning model, a bounding box around each of the one or more objects of interest for each of the plurality of images;
• and
• determine a geographical position of each of the one or more objects of interest based on a position of the bounding box.