Thanks, but how did you get that information?
When I look at the code at github for mobilenet v2

  
      
      GitHub
  
  
    

tensorflow/models 21

Models and examples built with TensorFlow. Contribute to tensorflow/models development by creating an account on GitHub.


  
  
    
    
  
  


I can’t find the label mapping or which dataset they are using. They are reffering to “imagenet checkpoints”.
One could assume they are using the same data set as in V1 where they are using the ILSVRC-2012-CLS, since they are comparing the accuracy between the nets. But there exist an imagenet2 also right?
Is the exact label mapping defined for all datasets? Or is it possible that one could eg mix the order between the labels and class-names when training the net?
Sorry for these fundamental questions, maybe it’s obvious for you guys…
This seems to be many assumptions from my side and I’m searching for a crystal-clear solution.
I will most certainly step into other datasets and then it’s good to know how to find this type of information.
thanks again for the link.
/Daniel