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Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial

Venelin Valkov via YouTube

Overview

Learn to fine-tune a pre-trained YOLO v5 model for object detection using a custom clothing dataset in this comprehensive Python and PyTorch tutorial. Explore the fundamentals of YOLO architecture, install necessary libraries, and dive into the process of fine-tuning the model. Evaluate the results and apply the trained model to detect objects in images. Gain hands-on experience in implementing state-of-the-art object detection techniques while assessing YOLO's speed and accuracy.

Syllabus

What are we doing?
Overview of YOLO
Install required libraries
Fine-tuning the model
Evaluating the results
Detecting objects in images

Taught by

Venelin Valkov

Reviews

4.2 rating, based on 6 Class Central reviews

Start your review of Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial

  • Profile image for Akash Kumar
    Akash Kumar
    It was a fine tutorial for beginning. Although this can not help one to start any project or so. You have to dwell more in deep for that.
  • Profile image for Hari Sudhan
    Hari Sudhan
    YOLOv5 (You Only Look Once version 5) is a cutting-edge computer vision model and course that has garnered significant attention in the field of deep learning and object detection. It represents a significant advancement in real-time object detecti…
  • Sirine BELHAJ
    The tutorial on Object Detection with YOLO (v5) fine-tuning using PyTorch and Python is well-structured and informative. The step-by-step guide is clear, making it accessible even for those with limited experience in the field. The use of PyTorch enhances readability, and the inclusion of a custom dataset adds practical value. However, more detailed explanations in certain sections could benefit beginners. Overall, a valuable resource for anyone looking to delve into custom object detection with YOLO (v5).
  • Profile image for Pritesh Lungare
    Pritesh Lungare
    This tutorial on custom object detection with YOLO, fine-tuned using PyTorch and Python, is exceptional! Clear explanations, step-by-step guidance, and practical examples make it a valuable resource for anyone diving into the world of computer vision. Highly recommended!
  • Nadim Kamal
    This was amazing course and easy to understand. With the help of this course I have come to know about the basis of object detection and it was pretty easy. Now I can visualize easily with the completion of this course & I am grateful to the courses instructor. It was really helpful. How can I get certified?
  • Profile image for Muhammad Abbas
    Muhammad Abbas
    The course was best for me. If gives me a new path in detection of images. I can detect many classes easily. it gives best accuracy and also gives fast work as well. It is best then CNN and other model in case of speed and accuracy

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