MLS-C01 · Question #183
MLS-C01 Question #183: Real Exam Question with Answer & Explanation
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Question
An ecommerce company is automating the categorization of its products based on images. A data scientist has trained a computer vision model using the Amazon SageMaker image classification algorithm. The images for each product are classified according to specific product lines. The accuracy of the model is too low when categorizing new products. All of the product images have the same dimensions and are stored within an Amazon S3 bucket. The company wants to improve the model so it can be used for new products as soon as possible. Which steps would improve the accuracy of the solution? (Choose three.)
Options
- AUse the SageMaker semantic segmentation algorithm to train a new model to achieve
- BUse the Amazon Rekognition DetectLabels API to classify the products in the dataset.
- CAugment the images in the dataset. Use open source libraries to crop, resize, flip, rotate,
- DUse a SageMaker notebook to implement the normalization of pixels and scaling of the
- EUse Amazon Rekognition Custom Labels to train a new model.
- FCheck whether there are class imbalances in the product categories, and apply
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