Project 3: Object Detection

Overview

Object detection using YOLOv8 (You Only Look Once). This project covers basic YOLO usage, training on custom datasets, and data augmentation techniques to improve model robustness.

YOLOv8 Bounding Boxes Data Augmentation Images + Annotations

Notebooks

Notebook	Topic	Description
033	Basic YOLO	Introduction to YOLO architecture and inference
034	Custom Objects	Training YOLO on custom object datasets
035	Data Augmentation	Augmentation pipelines for improved detection

Key Techniques

YOLOv8 Architecture - Single-shot detection with backbone, neck, and head
Bounding Box Prediction - Anchor-free detection with coordinate regression
Data Augmentation - Mosaic, mixup, HSV transforms, geometric transforms
Custom Training - Transfer learning from COCO weights to custom datasets

Available Tools

Tool	Description	Variation
`load_proj3_info`	Get Project 3 information and available resources	V2+
`list_proj3_notebooks`	List YOLO object detection notebooks	V2+