+DS IPLE: Deep Convolutional Object Detection

While image classification to a single class label can be useful, we are often also interested in where an object instance is located within an image. Such a problem is known as Object Detection. Like other computer vision tasks, the advent of deep learning (particularly convolutional neural networks) has resulted in significant advances in recent years. In this session, a real-world application of object detection is discussed, followed by an introduction of popular convolutional object detection models.

This session is part of the Duke+Data Science (+DS) program in-person learning experiences (IPLEs). To learn more, please visit https://plus.datascience.duke.edu/