[UDM] Object Tracking, Detection, Car Speed, Pose Estim in Python Course (Feb 2025) + Resources

Object Tracking, Detection, Car Speed, Pose Estim in Python Course aims to teach you about the newest technologies on the data science field, you will learn about object detection,Vehicle Speed Estimation, Pose Estimation, and Object Segmentation in Python.

This is a practical course with so many examples, so you will be able to build systems that can interpret and understand visual information. First you will master object detection which is a very critical task, because it should consider identifying and monitoring the movement and behavior of specific objects. We will talk about the BotSort algorithm which could be used for feature extraction, clustering, and tracking for identifying objects.

Then you will learn to estimate the speed using Python. we will be using Ultralytics YOLOv8 for this matter. It is really important to do this very accurately because it effects the efficiency and reliability of various applications. The next section talks about noise estimation with python, which provides a model with set of points that represent the keypoints on an object in the image.

The other sections of our course include topics such as Object Segmentation on Custom Dataset which provides a a set of masks or contours that outline each object in the image, Object Detection on Custom Dataset which provides a set of bounding boxes that enclose the objects in the image, and Object Classification which is very important when you need to know only what class an image belongs to.