Train Custom Dataset, Object Detection, Pose Estimation, Instance Segmentation, Image Classification, Cool Web Dashboard
What you will learn
How to run, from scratch, a YOLOv7, YOLOv8, YOLOv9, YOLOv10, and YOLOv11 program to detect 80 object classes in < 10 minutes
How to install and train YOLOv7, YOLOv8, YOLOv9, YOLOv10, YOLO11 using Custom Dataset & perform Object Detection for image, video & Real-Time using Webcam
How to use YOLOv7 & YOLOv8 new features: Instance Segmentation, Pose Estimation, Image Classification, Object Tracking + Real-world Projects
7 Real Projects: Various Vehicle Counter Web App, Person Counter, Squat Counter, Masker Detection, Weather Classification, Coffee Leaf Diseases, Cattle Counter
YOLOv7, YOLOv8, YOLOv9, YOLOv10 architecture and how it really works
How to find dataset
Data annotation/labeling using LabelImg
Automatic Dataset splitting
How to train YOLO v7, YOLO v8, YOLO v9, YOLO v10, YOLO11 using custom dataset, transfer learning and resume training.
How to visualize training performance using TensorBoard
Easily understand The Fundametal Theory of Deep Learning and How exactly Convolutional Neural Networks Work
Real-World Project #1: Masker detection using YOLOv7 & YOLOv8
Real-World Project #2: Weather Image/Video Classification using YOLOv8
Real-World Project #3: Coffee Leaf Diseases Segmentation using YOLOv8
Real-World Project #4: Squat Counter based on YOLOv7 Pose Estimation
Real World Project #5: Various Vehicle Counter and Speed Estimation Web App with Cool Dashboard using YOLOv9 +Β Streamlit
Real World Project #6: Cattle Counter using YOLOv10 + Bytetrack
Real World Project #7: Person Counter using YOLO11 +Β Bytetrack
Why take this course?
π [Train Custom Dataset, Object Detection, Pose Estimation, Instance Segmentation, Image Classification] ππ
Welcome to the Future of AI-Driven Vision Tasks! π
YOLOv7 YOLOv8 YOLOv9 Deep Learning Course: A Comprehensive Journey into Advanced Object Detection Models β¨
Course Headline: Train Custom Dataset, Master Object Detection, Pose Estimation, Instance Segmentation, Image Classification, and Build a Cool Web Dashboard with YOLOv7, YOLOv8, & YOLOv9!
Course Overview π
Dive into the world of AI and explore the latest advancements in object detection with our 3 COURSES IN 1 package. This course is designed to equip you with the knowledge and skills to master YOLOv7, YOLOv8, and YOLOv9 – the most cutting-edge models for object detection, image classification, and more.
What You Will Learn π
- Efficiency Unleashed: Run a YOLO model from scratch to detect 80 types of objects in under 10 minutes!
- YOLO Evolution: Understand the progression from YOLO v1 to the latest release, YOLOv8.
- Performance Comparison: Conduct real experiments to see how YOLO models stack up against each other.
- Advantages of YOLO: Discover what sets YOLO apart from other deep learning models.
- YOLO Innovations: Learn about the new features introduced in YOLOv7 and YOLOv8.
- Neural Networks Fundamentals: Gain a deep understanding of artificial neural networks, including neurons, perceptrons, and layers.
- Activation Functions Mastery: Explore different activation functions like Sigmoid, tanh, ReLu, Leaky ReLu, Mish, and SiLU.
- Convolutional Neural Networks (CNNs): Delve into the convolution process, pooling layers, flattening, and more.
- Computer Vision Explained: Tackle various computer vision problems such as image classification, object localization, and instance segmentation.
- YOLO Architecture Deep Dive: Analyze the architecture of YOLOv7, YOLOv8, and YOLOv9 in meticulous detail.
- Dataset Acquisition: Learn how to find and source datasets for your projects.
- Data Annotation Made Easy: Use LabelImg to annotate your dataset accurately.
- Dataset Management: Automatically split your dataset for training and testing.
- Step-by-Step Installation Guide: Follow a detailed guide for YOLOv7, YOLOv8, and YOLOv9 installation.
- Custom Dataset Training: Train YOLO models on your own custom datasets.
- Tensorboard Visualization: Learn to visualize your training progress with Tensorboard.
- Model Testing: Apply the trained YOLOv7, YOLOv8, and YOLOv9 models in real-world scenarios using images, videos, and webcams.
- YOLOv7 Enhancements: Explore Pose Estimation and Instance Segmentation features.
- YOLOv8 Enhancements: Discover the newInstance Segmentation & Object Tracking capabilities.
20-24. Real World Projects: Work on hands-on projects to apply your knowledge, including a Robust mask detector, Weather YOLOv8 classification app, Coffee Leaf Diseases Segmentation app, and a Squat Counter app. Cap off your learning with a Various Vehicle Counter and Speed Estimation Web App with a Cool Dashboard using YOLOv9 + Streamlit.
Join us on this journey to master one of the most powerful object detection models ever created! With Dr. Priyanto Hidayatullah (Ph.D in AI) as your guide, you’ll not only learn but also apply advanced AI techniques to real-world problems. π€π
Don’t just follow the crowd – be a leader in AI-driven computer vision applications! πβ¨