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Exam AWS Certified Machine Learning - Specialty topic 1 question 99 discussion

Exam question from Amazon's AWS Certified Machine Learning - Specialty
Question #: 99
Topic #: 1
[All AWS Certified Machine Learning - Specialty Questions]

A company uses camera images of the tops of items displayed on store shelves to determine which items were removed and which ones still remain. After several hours of data labeling, the company has a total of 1,000 hand-labeled images covering 10 distinct items. The training results were poor.
Which machine learning approach fulfills the company's long-term needs?

  • A. Convert the images to grayscale and retrain the model
  • B. Reduce the number of distinct items from 10 to 2, build the model, and iterate
  • C. Attach different colored labels to each item, take the images again, and build the model
  • D. Augment training data for each item using image variants like inversions and translations, build the model, and iterate.
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by Istdanagan at April 21, 2022, 5:10 a.m.
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ovokpus
Highly Voted 2 years, 1 month ago
Selected Answer: D
Data Augumentation is the way to go here. How does converting to grayscale help? What if the colors of the items are relevant in object identification???
upvoted 11 times
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AmeeraM
Most Recent 10 months, 1 week ago
Selected Answer: D
data augemntation
upvoted 1 times
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jopaca1216
11 months, 1 week ago
D is correct How can I make the decision to use gray images if the question doesn't even indicate whether the images are colored or not? and even so, colored images are important to ensure more accuracy in training than compared to gray imagens. Due that the model is underfitting, more data like indicated the option D is the correct action.
upvoted 1 times
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mirik
1 year, 2 months ago
C: "Attach different colored labels to each item, take the images again, and build the model" It is also kind of augmentation. It is even better than just inverting and translating existing samples.
upvoted 1 times
kaike_reis
1 year ago
But it's done in real life and your manual work would be lost.
upvoted 1 times
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Debayandt91
1 year, 3 months ago
shouldnt it be reduced to 2 variables , taking image of empty shelf and non empty and that should do it ?
upvoted 1 times
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Sylzys
1 year, 6 months ago
D is of course the right answer, grayscale only won't help anything
upvoted 3 times
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PHTR
1 year, 7 months ago
D is the CORRECT ANSWER https://research.aimultiple.com/data-augmentation/
upvoted 1 times
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aScientist
1 year, 9 months ago
Selected Answer: D
Data augmentation is correct. we need more samples
upvoted 1 times
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tgaos
2 years, 2 months ago
D is correct
upvoted 3 times
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cron0001
2 years, 4 months ago
Selected Answer: D
D is my answer for this. A can help but it'll need more than that.
upvoted 4 times
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Istdanagan
2 years, 4 months ago
Selected Answer: D
D, i guess
upvoted 4 times
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C (25%)
B (20%)
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