YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024

Learn Custom Object Detection, Segmentation, Tracking, Pose Estimation & 17+ Projects with Web Apps in Python
4.29 (566 reviews)
Udemy
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English
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Data Science
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YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024
5 029
students
17 hours
content
Nov 2024
last update
$84.99
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Why take this course?

🚀 Course Title: YOLOv8: Object Detection, Tracking & Web App in Python 2023 🎓


Course Headline:

YOLOv8: Train Custom Dataset, Object Detection, Segmentation, Tracking, Real World Projects & Web Apps in Python


Course Description:

  • Introduction to YOLO: Understanding the basics and how it differs from traditional object detection methods.
  • Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN: Comparing these models to see where YOLOv8 fits into the grand scheme of things.
  • Introduction to YOLOv8: Exploring what's new and how it improves upon its predecessors.
  • Comparison of YOLOv8 and YOLOv7: A detailed analysis using the License Plate Detection Problem as a case study.
  • Running YOLOv8 on Windows & Running YOLOv8 in Google Colab: Setting up your environment to start with YOLOv8.
  • How to find the dataset, Data annotation/labeling/ Automatic Dataset Splitting: Essential steps for preparing your custom datasets.
  • How to train YOLOv8 using custom dataset, transfer learning and resume training: Techniques for effective model training with minimal resources.
  • A series of hands-on projects ranging from Potholes Detection to Helmet Detection and Segmentation, Traffic Lights Detection, Cracks Segmentation, Vehicles Segmentation and Tracking, Object Blurring, and more!
  • Introduction to Multi-Object Tracking: Understanding the importance of tracking objects beyond detection.
  • Implementing YOLOv8 with Multi-Object Tracker DeepSORT Algorithm, including a Google Colab session.
  • Traffic Counting using YOLOv8 and DeepSORT Object Tracking, Car Velocity Calculation + Traffic Counting, and Vehicles Counting (Entering and Leaving): Learning to count and analyze vehicle behavior.
  • Car Velocity Calculation + Vehicles Counting (Entering and Leaving): Combining detection with analytics.
  • YOLOv8 Segmentation with Tracking, including a session on Google Colab.
  • How to train YOLOv8 Segmentation using custom dataset, transfer learning and resume training.
  • A range of segmentation projects from Potholes Segmentation to Helmet Detection and Segmentation, Traffic Lights Detection and Color Recognition, Cracks Segmentation, and more!
  • Face Detection, Gender Classification, Crowd Counting, Tracking with Alert and Analytics: Enhancing surveillance systems with smart features.
  • Licence Plate Detection and Recognition using YOLOv8 and EasyOCR: Implementing OCR for real-world applications.
  • Object Blurring using YOLOv8 with Object Tracking: Adding a privacy layer to object tracking.
  • Vehicles Segmentation and Tracking with Vehicles Counting and Speed Estimation: Advanced vehicle analytics.
  • Integrating YOLOv8 with Flask: Building the backend for your web application.
  • Creating a Complete Frontend Web App: From idea to deployment, turning your project into a user-friendly application.
  • App- Personal Protective Equipment (PPE) Detection: Real-time safety monitoring using YOLOv8.

Why This Course? 🌟

  • Hands-On Learning: Engage in over 17 practical projects that cover a wide array of real-world applications, ensuring you gain invaluable experience.
  • Expert Guidance: Learn from an experienced instructor who has a deep understanding of YOLOv8 and its capabilities.
  • Cutting-Edge Techniques: Stay ahead of the curve by mastering the latest advancements in object detection and computer vision.
  • Versatile Applications: Whether it's for surveillance, traffic management, safety monitoring, or OCR, this course equips you with a robust skill set.
  • Community Support: Join a community of like-minded learners who are passionate about pushing the boundaries of AI and machine learning.

Enroll now to embark on an exciting journey into the world of YOLOv8 and transform your data into actionable insights! 🚀


About the Instructor:

Instructor Name is a seasoned expert in computer vision with a wealth of experience in applying YOLO models to real-world scenarios. With a passion for teaching and a commitment to sharing knowledge, Instructor Name brings both depth of understanding and clarity of explanation to this course, ensuring you can navigate the complexities of YOLOv8 with confidence. 🤓


Ready to elevate your skills and make an impact in the field of AI and machine learning? Join us now and let's dive into the world of YOLOv8 together! 🎉

Course Gallery

YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024 – Screenshot 1
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YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024 – Screenshot 4
Screenshot 4YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2024

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03/02/2023
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