Company Filing History:
Years Active: 2014-2019
Title: The Innovative Contributions of Neil G. Alldrin
Introduction
Neil G. Alldrin is a prominent inventor based in San Jose, California. He has made significant contributions to the field of image annotation technology. With a total of five patents to his name, Alldrin continues to push the boundaries of innovation in his area of expertise.
Latest Patents
One of Alldrin's latest patents focuses on image annotation based on label consensus. This patent involves a series of actions that begin with receiving an initial data set containing multiple images, each associated with a set of labels. The initial model, which is specific to a ground-truth label, assigns these labels to the respective images. For each image, the process includes providing a list of categories based on the set of labels and determining a primary category. The model then compares the category of the ground-truth label to the primary categories of the images, leading to the creation of a revised data set. This revised data set is used to train the initial model, resulting in a more accurate revised model.
Career Highlights
Neil G. Alldrin is currently employed at Google Inc., where he applies his expertise in image annotation and machine learning. His work has been instrumental in enhancing the accuracy and efficiency of image processing technologies. Alldrin's innovative approach has garnered attention in the tech community, solidifying his reputation as a leading inventor in his field.
Collaborations
Alldrin has collaborated with notable colleagues, including Zhen Hao Zhou and Thomas J. Duerig. These partnerships have contributed to the development of cutting-edge technologies and have furthered advancements in image annotation.
Conclusion
Neil G. Alldrin's contributions to the field of image annotation are noteworthy and impactful. His innovative patents and collaborations reflect his commitment to advancing technology. Alldrin's work continues to influence the industry and inspire future innovations.