Train YOLO for Object Detection with Custom Data

Build your own detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4

4.28 (1211 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Apply already trained YOLO v3-v4 for Object Detection on image, video and in real time with camera

Label own dataset and structure files in YOLO format

Train YOLO v3-v4 detector in Darknet framework

Assemble custom dataset in YOLO format

Convert existing dataset of Traffic Signs in YOLO format

Build individual PyQt graphical user interface for Object Detection based on YOLO v3-v4 algorithm

Course Gallery

Train YOLO for Object Detection with Custom Data – Screenshot 1 — Screenshot 1 – Train YOLO for Object Detection with Custom Data

Train YOLO for Object Detection with Custom Data – Screenshot 2 — Screenshot 2 – Train YOLO for Object Detection with Custom Data

Train YOLO for Object Detection with Custom Data – Screenshot 3 — Screenshot 3 – Train YOLO for Object Detection with Custom Data

Train YOLO for Object Detection with Custom Data – Screenshot 4 — Screenshot 4 – Train YOLO for Object Detection with Custom Data

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Comidoc Review

Our Verdict

This is a fantastic course for beginners looking to understand and implement YOLO v3-v4 models in their projects, thanks to its comprehensive content, clear explanations, and highly responsive instructor. However, the simple assignments and lack of real-time coding sessions might make it less engaging for experienced learners.

What We Liked

The course is comprehensive, covering the use of YOLO v3-v4 for object detection in images, videos, and real-time with a camera
Well-explained concepts, tips, and examples; high-quality material; clear explanations from the instructor
Great for beginners: provides an easy-to-follow guide on preparing, training, and deploying YOLO v3 models
Instructor is highly responsive to questions, making it easy for students to understand complex topics

Potential Drawbacks

Assignments are too simple and repetitive; lack of discussion on common mistakes and solution approaches
Occasional issues with code implementation, particularly on Windows 11, making it difficult for some students to follow along
Limited coverage of YOLO v8
Lack of real-time coding sessions can make it challenging for some students to grasp certain concepts