class_docstr: A global dictionary that stores information about the datasets and how to obtain them.
  
  It contains a mapping from strings
  (which are names that identify a dataset, e.g. "coco_2014_train")
  to a function which parses the dataset and returns the samples in the
  format of `list[dict]`.
  
  The returned dicts should be in Detectron2 Dataset format (See DATASETS.md for details)
  if used with the data loader functionalities in `data/build.py,data/detection_transform.py`.
  
  The purpose of having this catalog is to make it easy to choose
  different datasets, by just using the strings in the config.
class_docstr_tok: ["A","global","dictionary","that","stores","information","about","the","datasets","and","how","to","obtain","them",".","It","contains","a","mapping","from","strings","(","which","are","names","that","identify","a","dataset",",","e.g",".","``","coco_2014_train","''",")","to","a","function","which","parses","the","dataset","and","returns","the","samples","in","the","format","of","`","list","[","dict","]","`",".","The","returned","dicts","should","be","in","Detectron2","Dataset","format","(","See","DATASETS.md","for","details",")","if","used","with","the","data","loader","functionalities","in","`","data\/build.py",",","data\/detection_transform.py","`",".","The","purpose","of","having","this","catalog","is","to","make","it","easy","to","choose","different","datasets",",","by","just","using","the","strings","in","the","config","."]
docstr: Alias of ``pop``.
docstr_tok: ["Alias","of","``","pop","``","."]
code: def remove(self, name):
      """
      Alias of ``pop``.
      """
      self.pop(name)
  
imports: import copy
  import logging
  import types
  from collections import UserDict
  from typing import List
  from detectron2.utils.logger import log_first_n
label_desc: Use image node_id 4 for calling the _DatasetCatalog obj's underlying member method code with example usage: obj.remove(name) without return types