🚀 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
⚙️ YOLOv8 Implementation
🛠️ Training Custom YOLOv8
🎥 YOLOv8 Object Tracking
🖼️ YOLOv8 Object Segmentation and Tracking
🧪 Training YOLOv8 Segmentation Model on Custom Dataset
📱 YOLOv8 Apps
🌐 YOLOv8 WebApp Development
🆕 YOLO11: New Object Detection Model
💻 YOLO11 Implementation | Google Colab
🖥️ YOLO11 Implementation | Windows & Linux
📊 Evaluating YOLO11 Model Performance: Testing and Analysis
🛠️ Training Custom YOLO11
🖼️ Train YOLO11 Instance Segmentation Model on a Custom Dataset
🖼️ Image Classification with YOLO11 on a Custom Dataset
🕺 Human Activity Recognition with YOLO11: Fine-Tune YOLO11 Pose Estimation Model
🎯 Multi-Object Tracking with Ultralytics YOLO11
📊 YOLO11 Streamlit Application
🚗 Car and License Plate Detection & Recognition with YOLO11 and PaddleOCR
👥 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
