Patent ID: 11869228
Assignee: VISENZE PTE LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A system for generating an image recognition model for recognizing an input image, the system comprising:
a processor; and
a memory in communication to the processor for storing instructions executable by the processor,
wherein the processor is configured to:
append at least one feature extraction layer to an image recognition model;
extract a plurality of feature vectors from a set of pre-determined images;
group the plurality of feature vectors into a plurality of categories;
cluster the plurality of feature vectors of each of the plurality of categories into at least one cluster;
determine at least one centroid for each of the at least one cluster, wherein each of the at least one cluster comprises at least one centroid, wherein each of the at least one centroid is represented by a feature vector;
generate a classification layer based on the feature vector of each of the at least one centroid of the plurality of categories;
append the classification layer to the image recognition model; and
receive a plurality of selected images in one of the plurality of categories, extract a plurality of new feature vectors of the plurality of selected images, add the plurality of new feature vectors to the plurality of feature vectors of one of the plurality of categories to form a new set of feature vectors, re-cluster the new set of feature vectors into at least one cluster, re-generate at least one centroid for each of the at least one cluster, wherein each of the at least one centroid is represented by a feature vector, and append the feature vector of each of the at least one centroid for each of the at least one cluster to the classification layer to the image recognition model.