Dog Breed Detection using YOLOv8 and Deep Learning

Dive into the world of computer vision with this comprehensive tutorial on creating a YOLOv8-based dog breed object detection system using deep learning. Learn how to import and utilize the YOLOv8 model from the Ultralytics library, convert annotations from XML to YOLO format, load and interpret annotation data from YAML files, train the YOLOv8 model with a dog dataset, and make predictions by drawing bounding boxes around detected dogs. Follow along with provided code and explore additional computer vision tutorials and resources. Gain practical skills in modern computer vision techniques using TensorFlow, Keras, and PyTorch, and discover recommended courses and books for further learning.

Introduction
Installation
Download the dataset & Prepare the data
Convert all annotations
Predict a test image
Train