Palantir Technologies Inc.

Joules Nahas

Matthew Elkherj

Peter Wilczynski

John Antonio Carrino

Daniel Zangri

Ernest Zeidman

David Montague

Anthony Bak

Lucas Lemanowicz

Gary Lin

Andrew Pettit

Ashwin Sreenivas

Daniel Spangenberger

Tinlok Pang

Yehonatan Steinmetz

Adam Schexnayder

Natasha Armbrust

Tomer Kremerman

Systems, methods, and non-transitory computer readable media are provided for labeling depictions of objects within images. An image may be obtained. The image may include a depiction of an object. A user's marking of a set of dots within the image may be received. The set of dots may include one or more dots. The set of dots may be positioned within or near the depiction of the object. The depiction of the object within the image may be labeled based on the set of dots.

Machine learning assistant for image analysis

Systems and methods are disclosed for systems and user interfaces for rapid analysis of viewership information. One of the methods includes accessing databases storing viewership information associated with segments, with each segment being associated with common features of viewers. Measures of association between the segment and content items are maintained for each segment. An interactive user interface is presented via a user device, the interactive user interface enabling creation of a customized viewing audience. The interactive user interface receives user input indicating a segment, identifies similar segments based on associations between features of the segment and of other segments, and presents the identified segments. Analysis information associated with the segments is presented for at least one of the one or more segments, with the segments being included in the customized viewing audience.

System and user interfaces for rapid analysis of viewership information

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Mountain View, CA, United States of America

Joules Nahas