From the course: Deep Learning with Python: Convolutional Neural Networks

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A brief history of computer vision

A brief history of computer vision - Python Tutorial

From the course: Deep Learning with Python: Convolutional Neural Networks

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A brief history of computer vision

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- [Instructor] Computer Vision has evolved significantly over the years. The early stages, from the 1960s through the 1990s, relied heavily on manually crafted algorithms. Basic techniques such as edge detection and quantum detection were widely used at that time. While these methods performed well in controlled settings, they often struggled with the complexity and variability of real world images. In the 2000s, machine learning models, like support vector machines, started to lead to modest improvements in the field. However, it wasn't until the rise of deep learning in the 2010s that major breakthroughs came about. Although convolutional neural networks, or CNNs, were first introduced in the late 1980s, they did not become practical for widespread use until much later. Early on, training deep neural networks, like CNNs, was both computationally prohibitive and limited by the lack of large label data sets. Between 2010 and 2012, two important developments helped to overcome these…

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