AI-102 · Question #399
AI-102 Question #399: Real Exam Question with Answer & Explanation
The correct answer is D: a multi label image classification model. AutoML Image Classification Multi-label Multi-label image classification is a computer vision task where the goal is to predict a set of labels associated with each individual image. You may consider using multi-label classification where you need to determine several properties
Question
You have a training dataset that contains 10,000 PDF documents. The documents contain scanned books, comics, and magazines. You are building a solution that will use Azure AI and a custom model. You need to train the model by using Language Studio. The solution must meet the following requirements: - Tag each item as a book, comic, or magazine. - Minimize development effort. What should you use?
Options
- Aa custom extraction model
- Ba multi label classification project
- Ca custom named entity recognition (NER) project
- Da multi label image classification model
Explanation
AutoML Image Classification Multi-label Multi-label image classification is a computer vision task where the goal is to predict a set of labels associated with each individual image. You may consider using multi-label classification where you need to determine several properties of a given image. https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/image-classifi cation-multilabel
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