recent advances in deep learning oing beyond classification in computer vision in we studied computer vision problems within deep learning that are solved using convolutional neural networks this idea was novel and groundbreaking focused on only one key area-classification we studied the classic example of mnist handwritten digits wherein we classified given image as digits between - [ classesin another exercisewe looked at binary classification between cats and dogs although the ability to classify an image into meaningful label using computational techniques is indeed valuablegoing step further opens up several use cases that are of profound value to modern-day use cases this section explores few possibilities that open by extending the ideas within convolutional neural networks further bject detection object detectiona technology related to computer visionattempts to distinguish one or more objects within an image or video for examplein the classification exercise of cats vs dogsobject detection would go one step further and predict rectangular bounding box that best captures the object of interest in more sophisticated use caseobject detection could be used to detect several objects within an image/video figure - shows sophisticated object detection algorithm in action there are bounding boxes against each identified object to distinguish them from one another