YoVDO

How to Train YOLOv5 on a Custom Dataset

Offered By: Eran Feit via YouTube

Tags

Machine Learning Courses Python Courses Computer Vision Courses PyTorch Courses Object Detection Courses Image Processing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to train YOLOv5 on a custom dataset in this comprehensive Python tutorial. Install YOLOv5, download and explore a custom dataset, train an object detection model, and test the results on new images. Gain hands-on experience with PyTorch-native YOLO implementation, emphasizing ease of use and quick training and inference. Follow along with code examples, discover data and classes, and apply your newly acquired skills to real-world computer vision projects.

Syllabus

Introduction
Installation
Download the dataset / Data discovery
Train
Test the model


Taught by

Eran Feit

Related Courses

Artificial Intelligence for Robotics
Stanford University via Udacity Intro to Computer Science
University of Virginia via Udacity Design of Computer Programs
Stanford University via Udacity Web Development
Udacity Programming Languages
University of Virginia via Udacity