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Embedded Vision Insights: December 4, 2018 Edition

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DEEP LEARNING MODEL TRAINING

How to Get the Labeled Data for FreeIUNU
Contextual machine understanding depends on labeled data, and gathering this data can be a significant constraint on growth. Paying for data, specifically paying for labeled data, is putting the cart before the horse. With the right strategy, you can get the customer to pay you while collecting the data and labeling it for you, resulting in a financial and technical virtuous cycle driving growth. Matt King, CTO of IUNU, explains how his company offers commercial plant growers practical value in exchange for labeled data that drives creating more value.

Overcoming Bias in Computer Vision - A Business ImperativeWill Byrne
The rollout of computer vision applications - even by some of the world's most influential tech companies - have been marred by issues of bias against specific groups. Overcoming bias in AI-enabled products isn't just an ethical imperative, it's crucial to products and businesses that succeed across a wide range of users and contexts. Entrepreneur Will Byrne reviews real-world cases of bias in products to date and...