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Update articles/machine-learning/how-to-prepare-datasets-for-automl-images.md
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articles/machine-learning/how-to-prepare-datasets-for-automl-images.md

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@@ -140,7 +140,7 @@ Next, you will need to get the label annotations in JSONL format. The schema of
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If your training data is in a different format (like, pascal VOC or COCO), [helper scripts](https://github.com/Azure/azureml-examples/blob/v2samplesreorg/v1/python-sdk/tutorials/automl-with-azureml/image-object-detection/coco2jsonl.py) to convert the data to JSONL are available in [notebook examples](https://github.com/Azure/azureml-examples/blob/v2samplesreorg/sdk/python/jobs/automl-standalone-jobs).
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### Using pre-labeled training data from Azure Blob storage
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If you have your labelled training data present in a container in Azure Blob storage, then you can access it directly from there by [creating a datastore referring to that container](how-to-datastore.md#create-an-azure-blob-datastore).
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If you have your labeled training data present in a container in Azure Blob storage, then you can access it directly from there by [creating a datastore referring to that container](how-to-datastore.md#create-an-azure-blob-datastore).
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## Create MLTable
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