Recall & Review
beginner
What does object detection do in images?
Object detection finds and shows where objects are in an image by drawing boxes around them.
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beginner
Why is localization important in object detection?
Localization tells us the exact place of an object, not just if it exists, so we know where to look or act.
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beginner
What is a bounding box in object detection?
A bounding box is a rectangle drawn around an object to show its position and size in the image.
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beginner
How does object detection differ from image classification?
Image classification says what is in the image, but object detection also says where each object is located.
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beginner
What real-life example shows why object detection needs localization?
In self-driving cars, detecting and localizing pedestrians helps the car know where to stop or slow down safely.
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What does localization in object detection provide?
✗ Incorrect
Localization means finding the exact place of objects inside the image.
Which of these is used to show where an object is in an image?
✗ Incorrect
Bounding boxes are rectangles drawn around objects to localize them.
How is object detection different from image classification?
✗ Incorrect
Detection tells what and where objects are; classification only tells what objects are.
Why is localization useful in self-driving cars?
✗ Incorrect
Knowing where pedestrians are helps the car stop or slow down safely.
What does a bounding box NOT provide?
✗ Incorrect
Bounding boxes show location and size but not color or shape details.
Explain why object detection needs to localize objects in images.
Think about how knowing where something is helps in understanding or acting on it.
You got /4 concepts.
Describe the difference between image classification and object detection with localization.
Focus on what extra information detection provides compared to classification.
You got /4 concepts.