Fridge Items dataset prepare JSONL files fails on base_jsonl_converter and voc_jsonl_converter

### Operating System

Windows

### Version Information

This example - https://github.com/Azure/azureml-examples/blob/main/sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb

... is linked from the official MS Tutorial page on preparing images https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-auto-train-image-models?view=azureml-api-2&tabs=python

When running it fails on base_jsonl_converter and voc_jsonl_converter on step 2.4. Convert annotation file from COCO to JSONL

### Steps to reproduce

1 Run the IPYNB file up to step 2.4
2 Fails on ModuleNotFoundError: No module named 'base_jsonl_converter'

### Expected behavior

It works

### Actual behavior

`{
"name": "ModuleNotFoundError",
"message": "No module named 'base_jsonl_converter'",
"stack": "---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[11], line 2
1 import sys
----> 2 import base_jsonl_converter
3 import voc_jsonl_converter
5 sys.path.insert(0, \"../jsonl-conversion/\")

ModuleNotFoundError: No module named 'base_jsonl_converter'"
}`

### Addition information

I've tried
!pip install base_jsonl_converter
!pip install voc_jsonl_converter
...but these do not work - so assumed that these are imported from somewhere else, but where isn't clear

This is a complicated starter tutorial that so far doesn't work