Training Custom Image Models Quiz

Quiz covering Custom Vision Models

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary purpose of labeling images when training a Custom Vision model?

2. 2

   You are training a model to detect defects in manufactured parts. You notice that the model performs well on training data but poorly on real-world test images. What is the most likely cause?

3. 3

   When building an object detection model, why is it important to include 'negative samples' (images that do not contain the target objects) in your training set?

4. 4

   If you have a dataset with 1,000 images of 'Cats' and only 50 images of 'Dogs', what is the most effective way to improve the model's ability to identify 'Dogs'?

5. 5

   You are using a transfer learning approach for a Custom Vision project. Which of the following best describes the benefit of this technique?