15

If I look at one of the many sources for the Imagenet classes on the Internet I cannot find a single class related to human beings (and no, harvestman is not someone who harvests, but it's what I knew as a daddy longlegs, a kind of spider :-). How is that possible? I would have at least expected a person class, and even something more specific such as man, woman, toddler, etc. Nothing of the sort. Why? Did Fei-Fei Li and her team make a conscious choice not to have people images in the database? Am I looking at the wrong file? For the sake of the question, we can consider the ImageNet versions from 2014 onwards.

Ethan
  • 1,657
  • 9
  • 25
  • 39
DeltaIV
  • 399
  • 1
  • 3
  • 14

3 Answers3

8

You can also take a look at here for the labels in the imagenet. I guess you are right, there is no label for human in the data-set but there is something to notice. There are labels in imagenet like cowboy or some specific hats and other related things to human like shirt and t-shirt. You can take a look at here and also here. In the latter link Yosinski et al, has tried to show that the popular AlexNet has learned to recognize human faces although there is no label as human face in the imagenet data-set. In their paper, they have investigated that Convolutional neural networks may try to learn things that are distributed among layers or maybe not and they may not have special label in the training data. As an example, the face of cats and humans can be referred to. Moreover, as you can see here maybe the aim was attribute learning in large-scale datasets, as quoted in the last line of the page, as the reference.

Green Falcon
  • 14,308
  • 10
  • 59
  • 98
6

I found the class 7846 (name="n00007846") is for person. To access to class description, read http://image-net.org/download-API. Even better, the following text files contain everything you ever need to understand the classes in ImageNet dataset (class = WordNet ID):

n00007846 maps to person, individual, someone, somebody, mortal, soul. The corresponding gloss is: a human being; "there was too much for one person to do".

Elias Schoof
  • 1,646
  • 11
  • 25
user47506
  • 61
  • 1
2

You can check this out: http://www.image-net.org/about-stats

Person as big categories and subcategories is listed. Also the Total number of images with persons is provided.

Stephen Rauch
  • 1,831
  • 11
  • 23
  • 34
Benjamin
  • 21
  • 1