Suppose X is an Image and L(i) is a worker who has a probability of labeling the image correctly. P(correct) >= 0.6 and P(wrong) <= 0.4. What is minimum number of workers required to label all the images correctly so that the incorrect prediction is lesser than 1% of the total predicted labels. Note- Use only hoeffding's inequality