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Update how-to-auto-train-image-models-v1.md
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articles/machine-learning/v1/how-to-auto-train-image-models-v1.md

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@@ -75,7 +75,7 @@ In order to generate computer vision models, you need to bring labeled image dat
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If your training data is in a different format (like, pascal VOC or COCO), you can apply the helper scripts included with the sample notebooks to convert the data to JSONL. Learn more about how to [prepare data for computer vision tasks with automated ML](../how-to-prepare-datasets-for-automl-images.md).
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> [!Warning]
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> Creation of TabularDatasets from data in JSONL format is supported using the SDK only, for this capability. Creating the dataset via UI is not supported at this time. As of now UI doesn't recognize StreamInfo datatype, which is the datatype used for image urls in JSONL format.
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> Creation of TabularDatasets from data in JSONL format is supported using the SDK only, for this capability. Creating the dataset via UI is not supported at this time. As of now, the UI doesn't recognize the StreamInfo datatype, which is the datatype used for image URLs in JSONL format.
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> [!Note]
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> The training dataset needs to have at least 10 images in order to be able to submit an AutoML run.

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