[Free] Free: Yolov7 Custom Object Detection Course
YOLOv7 architecture, Data Annotation, Training on Custom Dataset, Object Detection, Study Case (Project) – Free Course
What you’ll learn
- How to run, from scratch, a YOLOv7 program to detect 80 object classes in < 10 minutes
- How to install and train YOLOv7 using your own Custom Dataset and perform Object Detection for image, video and Real-Time using Webcam/Camera
- YOLOv7 architecture and how it really works
- How to find dataset
- Data annotation/labeling using LabelImg
- Automatic Dataset splitting
- How to visualize training performance using TensorBoard
- Real-World Project: Masker detection using YOLOv7
Requirements
- Windows laptop/PC, especially with Nvidia GPU
- Programming experience is an advantage but not required
Description
Welcome to the YOLOv7 Custom Object Detection Course (FREE)So what will you learn:
1. How to run, from scratch, a YOLOv7 program to detect 80 types of objects in < 10 minutes. This introductory exercise will take less than 10 minutes, giving you a quick and satisfying win to start the course.
2. How convolutional neural networks work (convolution process, pooling layer, flattening, etc)
3. YOLOv7 architecture in detail
4. How to find the dataset
5. How to perform data annotation using LabelImg. This step-by-step guide will teach you how to label your data accurately, which is a crucial part of training an effective object detection model.
6. How to automatically split a dataset. Automate the process of splitting your dataset into training, validation, and test sets
7. A detailed step-by-step YOLOv7 installation. We will cover everything from setting up the environment to verifying your installation
8. Train YOLOv7 on your own custom dataset. You will learn how to configure the model, set up training parameters, and monitor the training process
9. Visualize your training result using Tensorboard. This tool will help you understand how your model is learning over time and identify any potential issues
10. Test the trained YOLOv7 model on image, video, and webcam
11. Real World Project: Robust mask detector using YOLOv7
12. Please bear in mind that Udemy Free Course can have 2 HOURS lectures only therefore only object detection can be taught. What Next?
Learn Pose Estimation and Image Segmentation of YOLOv7 and other YOLO versions powerful features in our “YOLOv7-YOLOv8-YOLOv9 : 3 in 1 course”.
Author(s): Dr. Priyanto Hidayatullah (Ph.D in AI), Stunning Vision AI Academy
