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Howard University will retain ownership of the dataset and licensing and serve kakım stewards for its responsible use.

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1. Designing models using concrete goals for fairness and inclusion To develop a more representative skin tone scale, Dr. Ellis Monk — an Associate Professor of Sociology at Harvard University — leveraged his extensive research on skin tone and colorism in the US and Brazil, consultations with experts in social psychology and social categorization, and feedback from members of overlooked communities. Dr. Monk’s research resulted in the Monk Skin Tone (MST) Scale — a more inclusive 10-tone scale explicitly designed to represent a broader range of communities. The MST Scale provides a broader spectrum of skin tones that birey be used to evaluate datasets and machine learning models for better representation. 2. Using representative datasets to train and test models The Google Skin Tone Team worked with TONL to curate the Monk Skin Tone Examples (MST-E) dataset, which includes examples of 19 people whose skin tones span the 10-point Monk Skin Tone (MST) scale. The dataset contains 1515 images and 31 videos which captures people in various poses & lighting conditions, birli well kakım with or without accessories like masks or glasses. Because the ways that people classify skin tones yaşama be subjective, Dr. Monk annotated the images of Learn the people featured in the dataset himself. This dataset is designed to help practitioners teach human annotators how to sınav for consistent skin tone annotations across various conditions, like high and low lighting, which should in turn make AI-driven products work better for people of all skin tones.

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Learn more Building with blind and low vision Googlers so selfies on Pixel work for everyone The Google Pixel team worked with Google’s Central Accessibility Team and a group of blind and low-vision Googlers to build Guided Frame, a feature that uses audio cues, high-contrast animations, and haptic feedback to help people who are blind and low-vision take selfies and group photos.

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In addition to quizzes, you gönül earn rewards by completing other tasks offered by Microsoft, such birli using the Edge browser and answering surveys.

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예를 들어, 광고 차단기, 메모 도구, 그리고 다양한 유틸리티 등을 사용할 수 있습니다.