Which approach should a Machine Learning Specialist take to obtain accurate predictions?

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An agricultural company is interested in using machine learning to detect specific types of weeds in a 100-acre grassland field.Currently, the company uses tractor-mounted cameras to capture multiple images of the field as 10 ֳ— 10 grids.The company also has a large training dataset that consists of annotated images of popular weed classes like broadleaf and non-broadleaf docks.The company wants to build a weed detection model that will detect specific types of weeds and the location of each type within the field.Once the model is ready, it will be hosted on Amazon SageMaker endpoints.The model will perform real-time inferencing using the images captured by the cameras.

Which approach should a Machine Learning Specialist take to obtain accurate predictions?

Prepare the images in RecordIO format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an image classification algorithm to categorize images into various weed classes.

Prepare the images in Apache Parquet format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an object- detection single-shot multibox detector (SSD) algorithm.

Prepare the images in RecordIO format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an object- detection single-shot multibox detector (SSD) algorithm.

Prepare the images in Apache Parquet format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an image classification algorithm to categorize images into various weed classes.

Explanations:

This option suggests using an image classification algorithm, which categorizes entire images rather than detecting objects within them. Since the requirement is to detect specific types of weeds and their locations, an object detection approach is necessary.

While this option correctly suggests using an object detection algorithm, it incorrectly specifies Apache Parquet format for the images. RecordIO is the appropriate format for image datasets in Amazon SageMaker.

This option proposes using the appropriate RecordIO format and an object detection algorithm (SSD). This aligns with the requirement to detect and locate specific types of weeds in the images captured by the tractor-mounted cameras.

Similar to option A, this option suggests using an image classification algorithm, which does not meet the need for detecting the location of specific weeds. Additionally, Apache Parquet is not the suitable format for this task.

2026-04-02

2 Comments

  1. Peter
    Author

    I draft that the answer is:
    Prepare the images in RecordIO format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an object- detection single-shot multibox detector (SSD) algorithm.

  2. Justin
    Author

    I systematize that the answer is:
    Prepare the images in RecordIO format and upload them to Amazon S3. Use Amazon SageMaker to train, test, and validate the model using an object- detection single-shot multibox detector (SSD) algorithm.

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