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

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.

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