Object detection: an overview in the age of Deep Learning
The progress in this field is very exciting. But the last section of the fine article makes a really important point -- ultimately the training dataset defines the output that the algorithms can provide:"Unfortunately, there aren’t enough datasets for object detection. Data is harder (and more expensive) to generate, companies probably don’t feel like freely giving away their investment, and universities do not have that many resources."Even ImageNet has only 200 classes. Imagine a person with a vocabulary of exactly 200 concepts trying to describe the world. As Wittgenstein wrote, "The limits of my language mean the limits of my world" -- and the language we can teach to computers is still very limited.