You create a multi-class image classification model with automated machine learning in Azure Machine Learning. You need to prepare labeled image data as input for model training in the form of an…

The correct answer is B. JSONL. Azure Machine Learning requires image datasets for automated machine learning (computer vision tasks such as image classification, object detection, and instance segmentation) to be prepared in JSONL (JSON Lines) format. Each line in a JSONL file is a separate valid JSON object…

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Question

You create a multi-class image classification model with automated machine learning in Azure Machine Learning. You need to prepare labeled image data as input for model training in the form of an Azure Machine Learning tabular dataset. Which data format should you use?

Options

ACOCO
BJSONL
CJSON
DPascal VOC

How the community answered

(39 responses)

B
92% (36)
C
5% (2)
D
3% (1)

Explanation

Azure Machine Learning requires image datasets for automated machine learning (computer vision tasks such as image classification, object detection, and instance segmentation) to be prepared in JSONL (JSON Lines) format. Each line in a JSONL file is a separate valid JSON object representing one labeled image, containing fields for the image file path and its label(s). This format is then registered as an Azure ML tabular dataset pointing to the JSONL files. COCO format is a JSON-based format popular in the broader ML community for object detection and segmentation, but Azure ML AutoML specifically requires JSONL. Pascal VOC uses XML annotation files. Plain JSON lacks the line-delimited structure that Azure ML expects for tabular registration of image data.

Topics

#Azure Machine Learning#AutoML#Image Classification#Data Format

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