Practice R-cnn / Fast R-cnn (3.1.1) - Computer Vision and Image Intelligence

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11 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
5 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does R-CNN stand for?
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Think about what regions indicate in the process.
Question 2.
What do region proposals do?
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Consider how we might scan an image.
3Question 3.
What algorithm is used in R-CNN for generating region proposals?
- Selective Search
- Fast R-CNN
- YOLO
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Consider how regions are identified in images.
4Question 4.
True or False: Fast R-CNN can process the entire image in one go.
- True
- False
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Think about efficiency improvements.
Question 5.
Evaluate the efficiency of R-CNN versus Fast R-CNN in a scenario requiring real-time object detection.
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Think about the processing time and speed in critical applications.
Question 6.
Design an experiment to test the performance of R-CNN against Fast R-CNN on a common dataset.
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Consider using benchmarks like COCO or Pascal VOC.

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