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While learning from experience is natural for the majority of organisms—even plants and bacteria—designing machines with the same ability requires creativity, experimentation, and persistence. And yet the potential for machine learning is limitless.   A number of the most anticipated applications for machine learning have sprung from the subfield

Annotating image and video data for machine learning is a substantial challenge for all AI companies, but for startups it can be a significant bar to development. Accurate, quality image annotation requires a large investment of time and resources, potentially detracting from the core mission of companies at a precarious

The COVID-19 pandemic has had a dramatic effect on the airline industry. The International Air Transport Association reported that the industry suffered an US$84 billion loss in revenue for 2020. Across the globe airports are experiencing an unprecedented decline in passenger numbers as governments restrict travel and impose strict

Precise, scalable data annotation is helping drive forward development in AI across many industries. In the interior design and furniture business, computer vision based AI applications are already having a significant impact on the way consumers shop and buy. Furniture products have been slower to shift to online shopping. This

Commercial banks have long been leaders in the implementation of AI, with early adoption of machine learning practices helping them to refine trading strategies and assess risk. Now retail banking is one of the industries at the forefront of incorporating computer vision based AI models into their businesses. However, viability

Keymakr is supporting innovative machine learning projects by providing diverse, high-quality image and video datasets. One of these collaborations is with Mellow, a machine learning platform for small and midsize businesses. We talked to Mellow Co-Founders Nathan Collins and Ankur Patel to find out more about their project. Answers have

Why does image annotation matter in the world of machine learning? The answer is simple. The images you use to train, validate, and test your algorithms will directly impact the performance of your AI project. Every image in your datasets matters. The goal of a training dataset is to train