Identifying partially covered objects utilizing machine learning

A first device, comprising:

• a memory configured to store computer-executable instructions;
• and
• one or more processors in communication with the memory and configured to access the memory and execute the computer-executable instructions to, at least:
• access a first image comprising a portion of a face of a first person, the first image being included within a set of reference images for the face of the first person based at least in part on a determination that the portion of the face of the first person shown in the first image is not covered by a face covering, and the set of reference images respectively showing non-covered portions of the face of the first person;
• receive, from a second device comprising a camera, a second image comprising a portion of a face of a second person, the portion comprising a face covering that partially covers the face of the second person;
• and
• determine, using a trained model of the first device, whether the first image of the first person and the second image of the second person correspond to a same person, the trained model being trained to associate a partially covered face of a particular person with a non-covered face of the particular person.

One or more computer-readable storage media comprising computer-executable instructions that, when executed by one or more processors of a first device, cause the one or more processors to perform operations comprising:

• accessing a first image comprising a portion of a face of a first person, the first image being included within a set of reference images for the face of the first person based at least in part on a determination that the portion of the face of the first person shown in the first image is not covered by a face covering, and the set of reference images respectively showing non-covered portions of the face of the first person;
• receiving, from a second device comprising a camera, a second image comprising a portion of a face of a second person, the portion comprising a face covering that partially covers the face of the second person;
• and
• determining, using a trained model of the first device, whether the first image of the first person and the second image of the second person correspond to a same person, the trained model being trained to associate a partially covered face of a particular person with a non-covered face of the particular person.