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Secrets, Lies, and Account Recovery: Lessons from the Use of Personal Knowledge Questions at Google Joseph Bonneau ∗ Stanford University & EFF jbonneau@cs.stanford.edu Elie Bursztein Google elieb@google.com Ilan Caron Google ilanc@google.com Rob Jackson Google roj@google.com Mike Williamson Google miwilliamson@google.com ABSTRACT We examine the first large real-world data set on personal knowl- ed
A sound vocabulary and datasetAudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. The ontology is specified as a hierarchical graph of event categories, covering a wide range of human and animal sounds, musical instruments and genres, and common everyday environmental sounds. By releasing
Philosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
YouTube-BoundingBoxes is a large-scale data set of video URLs with densely-sampled high-quality single-object bounding box annotations. The data set consists of approximately 380,000 15-20s video segments extracted from 240,000 different publicly visible YouTube videos, automatically selected to feature objects in natural settings without editing or post-processing, with a recording quality often
This page is a companion to a recent paper by Hardt, Price, Srebro, which discusses ways to define and remove discrimination by improving machine learning systems. As machine learning is increasingly used to make important decisions across core social domains, the work of ensuring that these decisions aren't discriminatory becomes crucial. Here we discuss "threshold classifiers," a part of some ma
Sep 4th, 2019: Released the MediaPipe YouTube-8M feature extractor which extracts both visual and audio features. Jun 27th, 2019: Released the YouTube-8M Segments dataset. May 14th, 2018: Released an update to the dataset, with improved quality machine-generated labels, and reduced size / higher-quality video dataset. (YouTube-8M 2018). The YouTube-8M Segments dataset is an extension of the YouTub
Big Picture is now part of Google's People + AI Research. This site is no longer maintained-- please see the PAIR site for our current work. We explore how information visualization can make complex data accessible, useful, and even fun. Our focus is on ways to illuminate the data and algorithms used in machine intelligence.
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