Udemy – Object Tracking, Detection, Car Speed, Pose Estim in Python 2024-6
Udemy – Object Tracking, Detection, Car Speed, Pose Estim in Python 2024-6 Downloadly IRSpace

Course Object Tracking, Detection, Car Speed, Pose Estimation in Python. Step into the wonderful world of computer vision and deep learning with our comprehensive course. This course is designed to equip you with the skills necessary to master video object tracking, vehicle velocity estimation, object detection, object segmentation, and pose estimation using Python. This course combines theory and practical application, giving you the knowledge to build advanced systems that can interpret and understand visual information from the world around us.
What you will learn in this course:
- Python-encoded object tracking in videos
- Estimation of car speed with Python coding
- Gesture estimation and key point detection with Python
- Splitting objects with Python in a custom dataset
- Identifying objects with Python in custom datasets
- Classification of objects using YOLOv8 with Python coding
- Track objects with ByteTrack and BotSort tracking algorithms
- Segmentation of car video samples with YOLOv8 with Python
- Video object recognition of football players with YOLOv8 with Python
- Test, train and deploy YOLOv8 models in real time
Who is this course suitable for:
- This course is designed for a diverse audience with common interests in real-world applications of computer vision and deep learning.
- This course is ideal for students and academics looking to increase their knowledge of computer vision and deep learning applications in video object tracking, vehicle velocity estimation, object recognition, object segmentation, and gesture estimation using Python.
Description of the course Object Tracking Detection Car Speed Pose Estimation in Python
- Publisher: Udemy
- Lecturer: Dr. Mazhar Hussain , AI & Computer Science School
- Training level: beginner to advanced
- Training duration: 2 hours and 22 minutes
- Number of courses: 32
Course topics on 6/2024
Course prerequisites
- A Google Gmail account is required to get started with Google Colab to write Python Code
- No prior knowledge of Computer Vision and Deep Learning is assumed. Everything will be covered with hands-on trainings
Course images
Sample video of the course
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