One of the most important jobs in computer vision is image annotation. Computer vision essentially aims to give machine eyes — the capacity to perceive and comprehend the world — through various applications.
This rubric focuses on computer vision, and how computers can gain high-level understanding from data derived from digital images or videos. Topics also include haptics and other examples of computer sensory input, as well as concepts such as generative adversarial networks and AI-driven image recognition.
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This is the second part of my article Spectacular Visualization: The Eye of the Riemann Zeta Function, focusing on the most infamous unsolved mathematical conjecture,… Read More »Deep visualizations to Help Solve Riemann's Conjecture
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