Combine YOLO and Deepsort to count the objects in a frame.
Unlock the power of AI for real-time traffic monitoring with our comprehensive course.
Updated on Jun, 2025
Language - English
IT and Software ,Other IT and Software,Python
Lectures -13
Resources -1
Duration -2 hours
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Course Description
Key Points:
- Know the principles behind YOLO and Deep SORT algorithms.
- Set up and configurations of environments for AI model training will be learnt.
- A real time vehicle detection and counting system will be developed then deployed.
- Insights into optimizing models for speed and accuracy will be gained.
- It also includes practical uses such as traffic analysis and smart city development.
Goals
- Tackle the fundamentality of YOLO and Deep SORT algorithms.
- Understand how to prepare and personalize conditions for AI modeling.
- Create and implement a live automobile detection and enumeration framework.
- Understand how to make a model faster and more precise.
- Investigate hands-on usage in observing traffic patterns and building intelligent cities.
- Enroll today and take your place in future traffic solutions powered by AI!
Prerequisites
- Basic Computer Fundamentals & Terminologies
- basics python understanding
- basics of opencv
Curriculum
Check out the detailed breakdown of what’s inside the course
Intro
1 Lectures
-
Introduction
02:34
02:34
Opencv basics
3 Lectures
Object Detection
2 Lectures
Tracking and counting
1 Lectures
Heatmap generation
1 Lectures
Custom Model
3 Lectures
Count Vehicle in multilane environments.
1 Lectures
Resources
1 Lectures
Instructor Details
sunny kumar
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