How does image recognition work for humans?

When we see an object or an image, we, as human people, are able to know immediately and precisely what it is. People class everything they see on different sorts of categories based on attributes we identify on the set of objects. That way, even though we don’t know exactly what an object is, we are usually able to compare it to different categories of objects we have already seen in the past and classify it based on its attributes. Let’s take the example of an animal that is unknown to us. Even if we cannot clearly identify what animal it is, we are still able to identify it as an animal. People rarely think about what they are observing and how they can identify objects, it completely happens subconsciously. People aren’t focused on everything that surrounds them all the time. Our brain has been trained to identify objects quite easily, based on our previous experiences, that is to say, objects we have already encountered in the past. We do have an extraordinary power of deduction: when we see something that resembles an object we have already seen before, we are able to deduce that it belongs to a certain category of items. We don’t necessarily need to look at every part of an image to identify the objects in it. As soon as you see a part of the item that you recognized, you know what it is. We usually use colors and contrasts to identify items. For humans, most image recognition works subconsciously. But it is a lot more complicated when it comes to image recognition with machines.