FeiFei Li, director of Stanford's AI lab and her team, had started the Image Net project by the help of which they collaborated with more than 50,000 people in 180 countries to create the largest image database in the world. This database of images had around 15 million labeled and differentiated images. It explores around 22000 categories. Because of AI and Deep Learning teams working on such databases, computers can now see without human help. The neural networks involved in a giant project have over thousand million nodes. So, computers can train themselves with the help of such neural networks. No, it is not like terminator. They cannot have a human consciousness till taught. Even then there would be several limitations and issues involved. So, with the help of deep learning, data science and other field computers can see. This image recognition has even started being implemented in mobile OSs making use of ML.