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  1. The field of computer vision is a sector of Artificial Intelligence (AI) that uses Machine Learning and Deep Learning to enable computers to see, perform AI pattern recognition, and analyze objects in photos and videos in the same way that people do.

  2. APPLICATIONS OF ARTIFICIAL VISION. Artificial vision systems have numerous applications and we review some of them below: Object detection: comparison of an image with known patterns stored in a database to detect objects, even if they are partially hidden.

  3. A continuación, encontrará algunos ejemplos de tareas de visión artificial establecidas: La clasificación de imágenes ve una imagen y la puede clasificar (un perro, una manzana, la cara de una persona). Más concretamente, es capaz de prever con precisión que una determinada imagen pertenece a una clase específica.

  4. La visión artificial es un campo de la IA que permite que las computadoras y los sistemas obtengan información significativa de imágenes digitales, videos y otras entradas visuales, y tomen acciones o hagan recomendaciones basadas en esa información.

  5. Computer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs—and to make recommendations or take actions when they see defects or issues.

  6. 11 de jul. de 2022 · 39 Citations. 314 Altmetric. Metrics. Abstract. Biological visual systems have inspired the development of various artificial visual systems including those based on human eyes...

  7. 21 de dic. de 2022 · Computer vision is a field of artificial intelligence (AI) that applies machine learning to images and videos to understand media and make decisions about them. With computer vision, we can, in a sense, give vision to software and technology. How Does Computer Vision Work?