When we are dealing with object detection, there are many different classifiers that we can use. Which of the following classifiers is trained on a large number of images that include the object we are trying to detect as well as images that do not contain the object we are trying to detect?1 pointCascade ClassifiersSliding window ClassifiersViola ClassifiersIntegral classifiers

Q.21 Which of the following are Computer Vision tasks?1. Image Classification2. Object Detection3. Object Localization4. All of the above

Question 4You are working to create an object detection system, like the ones described in the lectures, to locate cats in a room. To have more data with which to train, you search on the internet and find a large number of cat photos.Which of the following is true about the system?1 point

Which approach utilizes existing deep learning models to detect objects in images or video frames?a.Optical flow b.Segmentationc.Template matching d.Pretrained models

What is the purpose of object detection in machine learning?a.To identify and locate specific objects within images.b.To classify images based on their visual content.c.To apply filters and effects to images.d.To generate realistic images using generative models.

___ is the process of finding instances of real-world objects in images or videos.(a) Instance segmentation(b) Object detection(c) Classification(d) Image segmentation