Object Detection Projects — R-CNN & YOLOv3

This repository contains two complete beginner-friendly object detection projects:

• R-CNN (Region-Based Convolutional Neural Network)
• YOLOv3 (You Only Look Once, Version 3)

Each project includes:

• 📘 Jupyter Notebook — step-by-step implementation and explanation
• 🧰 Utility functions — helper scripts for data processing and visualization
• 💾 Data — sample data to test and work with the models
• 🧠 Pre-trained models — ready to use for inference or fine-tuning

🔍 Overview

These projects are designed to help beginners understand and compare two of the most popular object detection architectures:

• R-CNN: region-based approach focusing on accuracy
• YOLOv3: real-time detection model focusing on speed