18815909. SYSTEMS AND METHODS FOR UTILIZING NEURAL NETWORK MODELS TO LABEL IMAGES (Verizon Patent and Licensing Inc.)

From WikiPatents
Revision as of 07:30, 19 December 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

SYSTEMS AND METHODS FOR UTILIZING NEURAL NETWORK MODELS TO LABEL IMAGES

Organization Name

Verizon Patent and Licensing Inc.

Inventor(s)

Prakash Ranganathan of Villupuram (IN)

Saurabh Tahiliani of Noida (IN)

SYSTEMS AND METHODS FOR UTILIZING NEURAL NETWORK MODELS TO LABEL IMAGES

This abstract first appeared for US patent application 18815909 titled 'SYSTEMS AND METHODS FOR UTILIZING NEURAL NETWORK MODELS TO LABEL IMAGES



Original Abstract Submitted

A device may receive unprocessed images to be labeled, and may utilize a first neural network model to identify objects of interest in the unprocessed images and bounding boxes for the objects of interest. The device may annotate the objects of interest to generate annotated objects of interest, and may utilize a second neural network model to group the annotated objects of interest into clusters. The device may utilize a third neural network model to determine labels for the clusters, and may request manually-generated labels for clusters for which labels are not determined. The device may receive the manually-generated labels, and may label the unprocessed images with the labels and the manually-generated labels to generate labeled images. The device may generate a training dataset based on the labeled images, and may train a computer vision model with the training dataset to generate a trained computer vision model.