🚀 YOLOv8 & YOLO11: Custom Object Detection & Web Apps 2025

Learn Custom Object Detection, Segmentation, Tracking, Pose Estimation & 17+ Projects with Web Apps in Python

✅ What you'll learn

• 📘 Introduction to YOLO

• 🧩 Fundamentals of YOLOv8

• 🎯 How to run a YOLOv8 program for Object Detection, Segmentation, Classification

• 📂 How to find the appropriate dataset

• ✍️ Data annotation / labeling / automatic dataset splitting

• 🛠️ Train / Fine-Tune YOLOv8 Object Detection Model on Custom Dataset

• 📊 Visualize the training performances

• 🎥 Multi-Object Tracking using YOLOv8

• 🖼️ Instance Segmentation using YOLOv8

• 🧪 Train / Fine-Tune YOLOv8 Instance Segmentation Model on a Custom Dataset

• 🔀 YOLOv8 Instance Segmentation with Multi-Object Tracking

• 🌐 Object Detection in the Browser using YOLOv8 and Flask

• 🕳️ Potholes Detection using YOLOv8

• 🦺 PPE (Personal Protective Equipment) Detection using YOLOv8

• ✒️ Pen and Book Detection using YOLOv8

• 🚦 Traffic Counting with YOLOv8 + DeepSORT Object Tracking

• 🚗 Car Velocity Calculation + Traffic Counting

• 🚙 Vehicles Counting (Entering & Leaving) with YOLOv8 & DeepSORT

• 🧱 Potholes Detection & Segmentation using YOLOv8

• 🚦 Traffic Lights Detection & Color Recognition using YOLOv8

• 🧩 Cracks Segmentation using YOLOv8

• ⛑️ Helmet Detection & Segmentation using YOLOv8

• 📷 Face Detection, Gender Classification, Counting, Tracking, Alerts & Analytics

• 🔒 Object Blurring with YOLOv8 + Object Tracking

• 🚘 Vehicle Segmentation, Tracking, Counting & Speed Estimation

• 🖥️ PPE Detection Web App

• 🌟 17+ Projects with YOLOv8: Unleashing the Power of YOLOv8

• 🎯 Object Detection, Instance Segmentation, Pose Estimation & Image Classification using YOLO11

• 🛠️ Training / Fine-Tuning YOLO11 Models on Custom Dataset

• 🎥 Multi-Object Tracking with Ultralytics YOLO11

• 📊 Evaluating YOLO11 Model Performance

• 🌐 Streamlit Web App for Object Detection with YOLO11

• 🚗 Car & License Plate Detection & Recognition with YOLO11 + PaddleOCR

💻 Requirements

• Works on Mac / Windows / Linux

📖 Description

YOLOv8 and YOLO11 are the latest state-of-the-art object detection models from Ultralytics, surpassing previous versions in both speed and accuracy.
They support a wide range of tasks:
👉 Object Detection | Instance Segmentation | Pose Estimation | Image Classification | Oriented Object Detection (OBB)

This course gives you hands-on training with real-world projects, covering everything from dataset preparation to web integration.

📂 Course Structure

🔹 Part 1: YOLOv8

• Introduction to YOLO

• Overview of CNN, RCNN, Fast RCNN, Faster RCNN, Mask R-CNN

• Introduction to YOLOv8

• Comparison of YOLOv8 vs YOLOv7 (focus on License Plate Detection)

• Running YOLOv8 (Windows & Google Colab)

• Dataset preparation: finding datasets, labeling & splitting

• Training & Fine-Tuning YOLOv8 on custom datasets

• Custom Projects:

  • Potholes Detection

  • PPE Detection

  • Pen and Book Detection

  • Multi-Object Tracking (DeepSORT)

• Traffic Analysis:

  • Vehicle counting & car velocity

  • Vehicle entry & exit counting

• Segmentation + Tracking:

  • Potholes, Traffic Lights, Cracks, Helmets

• Advanced Applications:

  • Automated vehicle direction detection

  • Face Detection, Gender Classification, Crowd Counting, Tracking

  • License Plate Recognition (EasyOCR)

  • Object Blurring + Vehicle Speed Estimation

• Web Integration: Flask + Complete PPE Web App

🔹 Part 2: YOLO11

• What’s new in YOLO11

• Object Detection, Segmentation, Pose Estimation, Classification (Windows/Linux)

• Performance Testing & Evaluation

• Training & Fine-Tuning YOLO11:

  • PPE Detection

  • Potholes Segmentation

  • Human Activity Recognition (Pose Estimation)

  • Plant Classification (Image Classification)

• Multi-Object Tracking with Bot-SORT & ByteTrack

• Specialized Projects:

  • License Plate Recognition with YOLO11 + EasyOCR

  • Car & License Plate Detection with YOLO11 + PaddleOCR

• Web Integration:

  • Flask Web App

  • Streamlit Web App

📚 Course Content (from the image)

📘 YOLOv8 Introduction

• 4 lectures

⚙️ YOLOv8 Implementation

• 2 lectures

🛠️ Training Custom YOLOv8

• 7 lectures

🎥 YOLOv8 Object Tracking

• 9 lectures

🖼️ YOLOv8 Object Segmentation and Tracking

• 3 lectures

🧪 Training YOLOv8 Segmentation Model on Custom Dataset

• 3 lectures

📱 YOLOv8 Apps

• 9 lectures

🌐 YOLOv8 WebApp Development

• 9 lectures

🆕 YOLO11: New Object Detection Model

• 1 lecture

💻 YOLO11 Implementation | Google Colab

• 1 lecture

🖥️ YOLO11 Implementation | Windows & Linux

• 1 lecture

📊 Evaluating YOLO11 Model Performance: Testing and Analysis

• 1 lecture

🛠️ Training Custom YOLO11

• 1 lecture

🖼️ Train YOLO11 Instance Segmentation Model on a Custom Dataset

• 1 lecture

🖼️ Image Classification with YOLO11 on a Custom Dataset

• 1 lecture

🕺 Human Activity Recognition with YOLO11: Fine-Tune YOLO11 Pose Estimation Model

• 1 lecture

🎯 Multi-Object Tracking with Ultralytics YOLO11

• 1 lecture

📊 YOLO11 Streamlit Application

• 1 lecture

🚗 Car and License Plate Detection & Recognition with YOLO11 and PaddleOCR

• 1 lecture

👥 Who this course is for

• Anyone interested in Computer Vision

• Students & developers learning Object Detection, Segmentation, Pose Estimation, Classification

• Engineers aiming to build real-world AI & Deep Learning Apps