Computer vision and human vision differ in how they perceive and process visual information. Human vision excels at contextual understanding, creativity, and adaptability in complex environments, while computer vision is better at speed, precision, and analyzing large datasets.
For example, humans can easily infer emotions or intent from facial expressions, a task that is challenging for computer vision without extensive training. Conversely, computer vision can quickly process millions of images for tasks like object detection, something impossible for humans.
Both systems complement each other, with computer vision handling repetitive and large-scale tasks while human vision excels in nuanced and subjective interpretations.