code: def __call__(self, batch):
      # Get all the pixel matrix
      pixel_values = [item[0] for item in batch]
  
      # Create a mask of the biggest image
      encoding = self.feature_extractor.pad_and_create_pixel_mask(
          pixel_values, return_tensors="pt"
      )
  
      # Get all the labels
      labels = [item[1] for item in batch]
  
      # Convert the data to the DETR format
      batch = {}
      batch["pixel_values"] = encoding["pixel_values"]
      batch["pixel_mask"] = encoding["pixel_mask"]
      batch["labels"] = labels
  
      return batch
  
label_desc: Use image node_id 2 for calling the ObjectDetectionCollator obj's underlying member method code with example usage: obj.__call__(batch) and returns: batch