AI-102 Implement computer vision solutions Practice Question
A retail company uses the Computer Vision Image Analysis API to generate tags for product images in their e-commerce catalog. They want to automatically tag images with product categories such as 'electronics', 'clothing', and 'home goods'. The prebuilt tags often misclassify items. For example, a smartphone is tagged as 'communication device' instead of 'electronics'. You need to improve the tagging accuracy for the company's specific product categories without building a completely new model. What should you do?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Train a Custom Vision classification model with images labeled with the company's product categories.
Custom Vision allows training a model with custom categories, improving tagging accuracy for specific product categories. Custom Vision works with the Image Analysis API by using the same underlying computer vision capabilities. Option B is incorrect because Dense Captioning provides descriptions but does not allow custom categories. Option C is incorrect because increasing the confidence threshold only filters out low-confidence tags but does not add custom categories. Option D is incorrect because the brands feature identifies brand names, not product categories.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Train a Custom Vision classification model with images labeled with the company's product categories.
Why this is correct
Custom Vision can generate custom tags tailored to the company's taxonomy.
- ✗
Use the Dense Captioning feature to generate detailed descriptions and parse them for categories.
Why it's wrong here
Dense captions are not structured tags.
- ✗
Increase the confidence threshold for tags to reduce false positives.
Why it's wrong here
Higher threshold does not introduce custom category tags.
- ✗
Use the 'brands' feature to identify product brands and map them to categories.
Why it's wrong here
Brands are not product categories.
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